{"id":4446,"date":"2026-04-18T00:03:21","date_gmt":"2026-04-17T15:03:21","guid":{"rendered":"https:\/\/blog.id774.net\/entry\/?p=4446"},"modified":"2026-04-18T00:16:50","modified_gmt":"2026-04-17T15:16:50","slug":"%e3%82%ab%e3%83%bc%e3%83%ab%e3%83%bb%e3%83%95%e3%83%aa%e3%82%b9%e3%83%88%e3%83%b3%e3%81%ae%e7%90%86%e8%ab%96%e3%81%af%e3%81%a9%e3%81%93%e3%81%be%e3%81%a7%e3%82%8f%e3%81%8b%e3%81%a3%e3%81%a6%e3%81%84","status":"publish","type":"post","link":"https:\/\/blog.id774.net\/entry\/2026\/04\/18\/4446\/","title":{"rendered":"\u30ab\u30fc\u30eb\u30fb\u30d5\u30ea\u30b9\u30c8\u30f3\u306e\u7406\u8ad6\u306f\u3069\u3053\u307e\u3067\u308f\u304b\u3063\u3066\u3044\u308b\u304b 2026"},"content":{"rendered":"

1. \u5c04\u7a0b\u3068\u524d\u63d0<\/h2>\n

\u30d5\u30ea\u30b9\u30c8\u30f3<\/a>\u7814\u7a76\u306f\u3001\u8133\u753b\u50cf\u89e3\u6790\u3001\u751f\u6210\u30e2\u30c7\u30eb\u3001\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406<\/a>\u3001\u80fd\u52d5\u7684\u63a8\u8ad6\u3001\u8a08\u7b97\u7cbe\u795e\u533b\u5b66\u3001\u610f\u8b58\u7814\u7a76\u3078\u3068\u5e83\u304c\u3063\u3066\u3044\u308b\u3002\u3057\u304b\u3057\u3001\u3053\u308c\u3089\u306f\u540c\u3058\u5f37\u5ea6\u306e\u79d1\u5b66\u7684\u78ba\u5b9f\u6027\u3092\u6301\u3063\u3066\u3044\u306a\u3044\u3002SPM \u3084 DCM \u306e\u3088\u3046\u306b\u65b9\u6cd5\u8ad6\u3068\u3057\u3066\u5e83\u304f\u5b9a\u7740\u3057\u305f\u3082\u306e\u3082\u3042\u308c\u3070\u3001\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u306e\u3088\u3046\u306b\u7406\u8ad6\u7684\u5f71\u97ff\u529b\u306f\u975e\u5e38\u306b\u5927\u304d\u3044\u304c\u3001\u81ea\u7136\u79d1\u5b66\u306e\u610f\u5473\u3067\u306e\u53cd\u8a3c\u53ef\u80fd\u6027\u304c\u8b70\u8ad6\u3055\u308c\u7d9a\u3051\u3066\u3044\u308b\u3082\u306e\u3082\u3042\u308b[1]<\/a>[2]<\/a>[3]<\/a>[4]<\/a>\u3002\u305d\u306e\u305f\u3081\u3001\u8b70\u8ad6\u306e\u51fa\u767a\u70b9\u3092\u6df7\u540c\u3057\u306a\u3044\u3053\u3068\u304c\u5fc5\u8981\u3067\u3042\u308b\u3002<\/p>\n

\u672c\u7a3f\u3067\u306f\u3001\u307e\u305a\u795e\u7d4c\u753b\u50cf\u89e3\u6790\u3068\u63a8\u8ad6\u7406\u8ad6\u306e\u57fa\u790e\u3092\u78ba\u8a8d\u3057\u3001\u305d\u306e\u5f8c\u306b 2026 \u5e74\u6642\u70b9\u3067\u306e\u5230\u9054\u70b9\u3092\u300c\u78ba\u7acb\u3057\u305f\u77e5\u898b \/ \u6709\u529b\u4eee\u8aac \/ \u672a\u89e3\u6c7a\u554f\u984c\u300d\u306e 3 \u533a\u5206\u3067\u5207\u308a\u5206\u3051\u308b\u3002\u6700\u5f8c\u306b\u3001\u305d\u306e\u533a\u5206\u3092\u4fdd\u5b58\u3057\u305f\u307e\u307e\u3001\u6700\u5c0f\u306e\u6570\u7406\u30e2\u30c7\u30eb\u3092\u5b9a\u7fa9\u3057\u3001\u4eca\u5f8c\u3069\u3053\u3092\u62e1\u5f35\u3059\u3079\u304d\u304b\u3092\u793a\u3059[5]<\/a>[6]<\/a>[7]<\/a>\u3002<\/p>\n

\n

2. \u5b66\u8853\u7684\u306b\u6700\u3082\u5805\u3044\u571f\u53f0<\/h2>\n

2.1. \u795e\u7d4c\u753b\u50cf\u89e3\u6790\u306e\u65b9\u6cd5\u8ad6<\/h3>\n

\u3082\u3063\u3068\u3082\u5805\u3044\u6210\u679c\u306f\u3001\u8133\u753b\u50cf\u89e3\u6790\u306b\u304a\u3051\u308b\u7d71\u8a08\u7684\u65b9\u6cd5\u8ad6\u306e\u78ba\u7acb\u3067\u3042\u308b\u3002\u7d71\u8a08\u7684\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u30de\u30c3\u30d4\u30f3\u30b0\u306f\u3001\u4e00\u822c\u7dda\u5f62\u30e2\u30c7\u30eb\u3068\u7a7a\u9593\u7d71\u8a08\u3092\u8133\u753b\u50cf\u3078\u9069\u7528\u3057\u3001\u30dc\u30af\u30bb\u30eb\u5358\u4f4d\u306e\u63a8\u5b9a\u3068\u63a8\u8ad6\u3092\u6a19\u6e96\u5316\u3057\u305f[1]<\/a>\u3002\u30dc\u30af\u30bb\u30eb\u30d9\u30fc\u30b9\u5f62\u614b\u8a08\u6e2c\u306f\u3001\u69cb\u9020\u753b\u50cf\u306b\u5bfe\u3059\u308b\u7fa4\u9593\u6bd4\u8f03\u3092\u9ad8\u89e3\u50cf\u5ea6\u3067\u884c\u3046\u624b\u6cd5\u3068\u3057\u3066\u5b9a\u7740\u3057[2]<\/a>\u3001\u52d5\u7684\u56e0\u679c\u30e2\u30c7\u30ea\u30f3\u30b0\u306f\u3001\u8133\u9818\u57df\u9593\u306e\u6709\u52b9\u7d50\u5408\u3092\u751f\u6210\u30e2\u30c7\u30eb\u3068\u3057\u3066\u63a8\u5b9a\u3059\u308b\u67a0\u7d44\u307f\u3092\u4e0e\u3048\u305f[3]<\/a>\u3002\u3053\u306e\u4e09\u8005\u306f\u3001\u73fe\u4ee3\u8a8d\u77e5\u795e\u7d4c\u79d1\u5b66\u306e\u89e3\u6790\u57fa\u76e4\u3068\u3057\u3066\u6b74\u53f2\u7684\u306b\u3082\u5b9f\u52d9\u7684\u306b\u3082\u5b9a\u7740\u3057\u3066\u3044\u308b[8]<\/a>\u3002<\/p>\n

2.2. \u751f\u6210\u30e2\u30c7\u30eb\u3068\u3057\u3066\u306e\u8133<\/h3>\n

\u6b21\u306e\u571f\u53f0\u306f\u3001\u8133\u3092\u53d7\u52d5\u7684\u306a\u5165\u529b\u51e6\u7406\u5668\u3067\u306f\u306a\u304f\u3001\u5916\u754c\u306e\u6f5c\u5728\u72b6\u614b\u306b\u5bfe\u3059\u308b\u751f\u6210\u30e2\u30c7\u30eb\u3092\u6301\u3064\u7cfb\u3068\u3057\u3066\u6349\u3048\u308b\u898b\u65b9\u3067\u3042\u308b\u3002\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u306f\u3001\u77e5\u899a\u3001\u884c\u52d5\u3001\u5b66\u7fd2\u3092\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u306e\u89b3\u70b9\u304b\u3089\u7d71\u4e00\u7684\u306b\u6349\u3048\u3088\u3046\u3068\u3059\u308b\u7406\u8ad6\u3067\u3042\u308a[4]<\/a>\u3001\u305d\u306e\u5f8c\u306e active inference \u306e\u8af8\u8ad6\u6587\u306f\u3001\u884c\u52d5\u9078\u629e\u3068\u5b66\u7fd2\u3092 expected free energy \u306e\u6700\u5c0f\u5316\u3068\u3057\u3066\u5b9a\u5f0f\u5316\u3057\u3066\u304d\u305f[5]<\/a>[6]<\/a>[7]<\/a>\u3002\u305f\u3060\u3057\u3001\u3053\u306e\u5c64\u306f\u65b9\u6cd5\u8ad6\u306e\u5c64\u3068\u306f\u9055\u3044\u3001\u7406\u8ad6\u306e\u4e00\u822c\u6027\u3068\u691c\u8a3c\u53ef\u80fd\u6027\u3092\u3081\u3050\u3063\u3066\u73fe\u5728\u3082\u8b70\u8ad6\u304c\u6b8b\u308b[9]<\/a>[10]<\/a>[11]<\/a>\u3002<\/p>\n

2.3. \u8a08\u7b97\u7cbe\u795e\u533b\u5b66\u3078\u306e\u5fdc\u7528<\/h3>\n

\u8a08\u7b97\u7cbe\u795e\u533b\u5b66\u3067\u306f\u3001\u7d71\u5408\u5931\u8abf\u75c7\u3092\u5c40\u6240\u640d\u50b7\u3067\u306f\u306a\u304f\u3001\u7d50\u5408\u7570\u5e38\u3001\u7cbe\u5ea6\u91cd\u307f\u4ed8\u3051\u7570\u5e38\u3001\u968e\u5c64\u7684\u63a8\u8ad6\u306e\u5931\u8abf\u3068\u3057\u3066\u8a18\u8ff0\u3059\u308b\u7814\u7a76\u304c\u84c4\u7a4d\u3057\u3066\u304d\u305f\u3002\u3068\u304f\u306b dysconnection hypothesis \u306f\u3001NMDA \u53d7\u5bb9\u4f53\u4f9d\u5b58\u306e\u53ef\u5851\u6027\u3084\u9ad8\u6b21\u4e8b\u524d\u3068\u611f\u899a\u8aa4\u5dee\u306e\u30d0\u30e9\u30f3\u30b9\u7570\u5e38\u3092\u4e2d\u6838\u306b\u636e\u3048\u308b\u3053\u3068\u3067\u3001\u5e7b\u899a\u3068\u5984\u60f3\u3092\u540c\u4e00\u306e\u63a8\u8ad6\u6a5f\u69cb\u306e\u7570\u5e38\u3068\u3057\u3066\u8aad\u3080\u67a0\u7d44\u307f\u3092\u4e0e\u3048\u305f[12]<\/a>[13]<\/a>\u3002\u3053\u306e\u65b9\u5411\u306f\u6709\u529b\u3067\u3042\u308b\u304c\u3001\u500b\u3005\u306e\u60a3\u8005\u306b\u5bfe\u3059\u308b\u8a3a\u65ad\u3084\u6cbb\u7642\u3092\u6c7a\u5b9a\u7684\u306b\u6539\u5584\u3059\u308b\u81e8\u5e8a\u6a19\u6e96\u3078\u5230\u9054\u3057\u305f\u3068\u306f\u307e\u3060\u8a00\u3044\u96e3\u3044\u3002<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
\u9818\u57df<\/th>\n\u4e2d\u6838\u624b\u6cd5 \/ \u7406\u8ad6<\/th>\n\u6570\u7406\u7684\u67a0\u7d44\u307f<\/th>\n\u73fe\u5728\u306e\u4f4d\u7f6e\u3065\u3051<\/th>\n<\/tr>\n<\/thead>\n
\u795e\u7d4c\u753b\u50cf\u89e3\u6790<\/td>\nSPM<\/td>\n\u4e00\u822c\u7dda\u5f62\u30e2\u30c7\u30eb\uff08GLM\uff09\uff0b\u78ba\u7387\u5834\u7406\u8ad6<\/td>\n\u6a19\u6e96\u7684\u89e3\u6790\u57fa\u76e4\u3068\u3057\u3066\u78ba\u7acb<\/td>\n<\/tr>\n
\u795e\u7d4c\u753b\u50cf\u89e3\u6790<\/td>\nVBM<\/td>\n\u30dc\u30af\u30bb\u30eb\u5358\u4f4d\u306e\u5f62\u614b\u7d71\u8a08\u6bd4\u8f03<\/td>\n\u69cb\u9020\u89e3\u6790\u624b\u6cd5\u3068\u3057\u3066\u5b9a\u7740<\/td>\n<\/tr>\n
\u795e\u7d4c\u753b\u50cf\u89e3\u6790<\/td>\nDCM<\/td>\n\u751f\u6210\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u6709\u52b9\u7d50\u5408\u63a8\u5b9a<\/td>\n\u56e0\u679c\u7684\u63a5\u7d9a\u89e3\u6790\u306e\u67a0\u7d44\u307f\u3068\u3057\u3066\u78ba\u7acb<\/td>\n<\/tr>\n
\u7406\u8ad6\u795e\u7d4c\u79d1\u5b66<\/td>\n\u30d9\u30a4\u30ba\u8133\u4eee\u8aac<\/td>\n\u78ba\u7387\u7684\u751f\u6210\u30e2\u30c7\u30eb\u3068\u4e8b\u5f8c\u63a8\u8ad6<\/td>\n\u5e83\u304f\u53d7\u5bb9\u3055\u308c\u305f\u57fa\u672c\u67a0\u7d44\u307f<\/td>\n<\/tr>\n
\u7406\u8ad6\u795e\u7d4c\u79d1\u5b66<\/td>\n\u4e88\u6e2c\u7b26\u53f7\u5316<\/td>\n\u4e88\u6e2c\u8aa4\u5dee\u6700\u5c0f\u5316\uff08\u968e\u5c64\u30e2\u30c7\u30eb\uff09<\/td>\n\u5b9f\u9a13\u7684\u652f\u6301\u304c\u84c4\u7a4d<\/td>\n<\/tr>\n
\u7d71\u5408\u7406\u8ad6<\/td>\n\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406<\/td>\n\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316<\/td>\n\u6709\u529b\u7406\u8ad6\u3060\u304c\u8b70\u8ad6\u7d99\u7d9a\u4e2d<\/td>\n<\/tr>\n
\u610f\u601d\u6c7a\u5b9a\u7406\u8ad6<\/td>\nActive Inference<\/td>\n\u671f\u5f85\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316<\/td>\n\u7d71\u4e00\u30e2\u30c7\u30eb\u3068\u3057\u3066\u767a\u5c55\u4e2d<\/td>\n<\/tr>\n
\u8a08\u7b97\u7cbe\u795e\u533b\u5b66<\/td>\n\u30c7\u30a3\u30b9\u30b3\u30cd\u30af\u30b7\u30e7\u30f3\u4eee\u8aac<\/td>\n\u7cbe\u5ea6\u91cd\u307f\u4ed8\u3051\u30fb\u7d50\u5408\u7570\u5e38\u30e2\u30c7\u30eb<\/td>\n\u6709\u529b\u3060\u304c\u81e8\u5e8a\u6a19\u6e96\u306b\u306f\u672a\u5230\u9054<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

3. 2026 \u5e74\u6642\u70b9\u3067\u306e 3 \u533a\u5206\u8868<\/h2>\n

\u4ee5\u4e0b\u306e\u8868\u3067\u306f\u30012026 \u5e74\u6642\u70b9\u3067\u78ba\u8a8d\u3067\u304d\u308b\u67fb\u8aad\u8ad6\u6587\u3068\u30ec\u30d3\u30e5\u30fc\u306b\u57fa\u3065\u304d\u3001\u5230\u9054\u70b9\u3092 3 \u533a\u5206\u3067\u6574\u7406\u3059\u308b\u3002<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u533a\u5206<\/th>\n\u5185\u5bb9<\/th>\n\u5177\u4f53\u9805\u76ee<\/th>\n\u5224\u65ad\u7406\u7531<\/th>\n<\/tr>\n<\/thead>\n
\u78ba\u7acb\u3057\u305f\u77e5\u898b<\/td>\n\u795e\u7d4c\u753b\u50cf\u89e3\u6790\u306e\u7d71\u8a08\u57fa\u76e4\u306f\u73fe\u4ee3\u8a8d\u77e5\u795e\u7d4c\u79d1\u5b66\u306e\u6a19\u6e96\u3067\u3042\u308b\u3002<\/td>\nSPM\u3001VBM\u3001DCM\u3002<\/td>\n\u9577\u671f\u306b\u308f\u305f\u308a\u5e83\u304f\u4f7f\u308f\u308c\u3001\u518d\u73fe\u53ef\u80fd\u306a\u89e3\u6790\u67a0\u7d44\u307f\u3068\u3057\u3066\u5b9a\u7740\u3057\u3066\u3044\u308b[1]<\/a>[2]<\/a>[3]<\/a>[8]<\/a>\u3002<\/td>\n<\/tr>\n
\u78ba\u7acb\u3057\u305f\u77e5\u898b<\/td>\n\u8133\u3092\u6f5c\u5728\u72b6\u614b\u63a8\u5b9a\u3092\u884c\u3046\u78ba\u7387\u7684\u30b7\u30b9\u30c6\u30e0\u3068\u3057\u3066\u8a18\u8ff0\u3059\u308b\u3053\u3068\u306f\u5e83\u304f\u53d7\u5bb9\u3055\u308c\u3066\u3044\u308b\u3002<\/td>\n\u751f\u6210\u30e2\u30c7\u30eb\u3001\u968e\u5c64\u30d9\u30a4\u30ba\u3001\u4e88\u6e2c\u8aa4\u5dee\u306b\u57fa\u3065\u304f\u8aac\u660e\u3002<\/td>\n\u795e\u7d4c\u79d1\u5b66\u3068\u8a08\u7b97\u8ad6\u306e\u4e21\u5074\u3067\u5171\u901a\u8a9e\u5f59\u3068\u3057\u3066\u5b9a\u7740\u3057\u3066\u3044\u308b\u304c\u3001\u500b\u5225\u7406\u8ad6\u306e\u512a\u52a3\u3068\u306f\u533a\u5225\u3059\u3079\u304d\u3067\u3042\u308b[4]<\/a>[10]<\/a>[11]<\/a>\u3002<\/td>\n<\/tr>\n
\u6709\u529b\u4eee\u8aac<\/td>\n\u77e5\u899a\u3001\u884c\u52d5\u3001\u5b66\u7fd2\u3092\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u3067\u5358\u4e00\u539f\u7406\u3068\u3057\u3066\u7d71\u4e00\u3067\u304d\u308b\u3002<\/td>\nFEP \u3068 active inference\u3002<\/td>\n\u7406\u8ad6\u7684\u6574\u5408\u6027\u3068\u5f71\u97ff\u529b\u306f\u9ad8\u3044\u304c\u3001\u552f\u4e00\u306e\u6b63\u3057\u3044\u57fa\u790e\u7406\u8ad6\u3068\u3057\u3066\u78ba\u5b9a\u3057\u305f\u308f\u3051\u3067\u306f\u306a\u3044[4]<\/a>[5]<\/a>[6]<\/a>\u3002<\/td>\n<\/tr>\n
\u6709\u529b\u4eee\u8aac<\/td>\n\u63a2\u7d22\u3068\u5229\u7528\u306f expected free energy \u306e\u5206\u89e3\u3067\u7d71\u4e00\u7684\u306b\u66f8\u3051\u308b\u3002<\/td>\n\u5916\u767a\u7684\u4fa1\u5024\u3068\u8a8d\u8b58\u7684\u4fa1\u5024\u306e 2 \u9805\u5206\u89e3\u3002<\/td>\n\u7406\u8ad6\u3068\u3057\u3066\u306f\u7cbe\u7dfb\u5316\u3055\u308c\u3066\u3044\u308b\u304c\u3001\u4ed6\u306e\u610f\u601d\u6c7a\u5b9a\u7406\u8ad6\u306b\u5bfe\u3059\u308b\u4e00\u822c\u7684\u512a\u4f4d\u306f\u672a\u78ba\u5b9a\u3067\u3042\u308b[6]<\/a>[7]<\/a>\u3002<\/td>\n<\/tr>\n
\u6709\u529b\u4eee\u8aac<\/td>\n\u7d71\u5408\u5931\u8abf\u75c7\u306a\u3069\u306e\u75c5\u7406\u306f\u3001\u968e\u5c64\u7684\u63a8\u8ad6\u3068\u7cbe\u5ea6\u91cd\u307f\u4ed8\u3051\u306e\u7570\u5e38\u3068\u3057\u3066\u8a18\u8ff0\u3067\u304d\u308b\u3002<\/td>\ndysconnection hypothesis\u3001precision weighting \u306e\u7570\u5e38\u3002<\/td>\n\u753b\u50cf\u7814\u7a76\u3068\u7406\u8ad6\u7814\u7a76\u306e\u652f\u6301\u304c\u3042\u308b\u304c\u3001\u81e8\u5e8a\u73fe\u5834\u306e\u6a19\u6e96\u30e2\u30c7\u30eb\u3078\u79fb\u884c\u3057\u305f\u3068\u306f\u8a00\u3048\u306a\u3044[12]<\/a>[13]<\/a>\u3002<\/td>\n<\/tr>\n
\u6709\u529b\u4eee\u8aac<\/td>\nactive inference \u306f\u9ad8\u6b21\u8a8d\u77e5\u3084\u3088\u308a\u8907\u96d1\u306a\u8a08\u753b\u554f\u984c\u3078\u62e1\u5f35\u53ef\u80fd\u3067\u3042\u308b\u3002<\/td>\n\u62e1\u5f35 active inference\u3001scale-free active inference\u3002<\/td>\n\u8fd1\u5e74\u306e\u67fb\u8aad\u8ad6\u6587\u3067\u5f62\u5f0f\u7684\u62e1\u5f35\u304c\u9032\u3093\u3067\u3044\u308b\u304c\u3001\u4e00\u822c\u77e5\u80fd\u30ec\u30d9\u30eb\u3067\u306e\u6c7a\u5b9a\u7684\u512a\u4f4d\u306f\u307e\u3060\u8a00\u3048\u306a\u3044[11]<\/a>[14]<\/a>\u3002<\/td>\n<\/tr>\n
\u672a\u89e3\u6c7a\u554f\u984c<\/td>\n\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u305d\u306e\u3082\u306e\u304c\u3069\u306e\u610f\u5473\u3067\u53cd\u8a3c\u53ef\u80fd\u304b\u306f\u660e\u78ba\u3067\u306a\u3044\u3002<\/td>\n\u539f\u7406\u306e\u4e00\u822c\u6027\u3068\u691c\u8a3c\u5883\u754c\u3002<\/td>\n\u7406\u8ad6\u304c\u5e83\u304f\u591a\u304f\u306e\u7cfb\u3092\u5305\u6442\u3067\u304d\u308b\u305f\u3081\u3001\u53cd\u8a3c\u6761\u4ef6\u3068\u7d4c\u9a13\u7684\u5236\u7d04\u306e\u7f6e\u304d\u65b9\u304c\u8b70\u8ad6\u5bfe\u8c61\u3067\u3042\u308b[9]<\/a>[10]<\/a>\u3002<\/td>\n<\/tr>\n
\u672a\u89e3\u6c7a\u554f\u984c<\/td>\n\u610f\u8b58\u3092 active inference \u3060\u3051\u3067\u5341\u5206\u306b\u5b9a\u5f0f\u5316\u3067\u304d\u308b\u304b\u306f\u672a\u6c7a\u7740\u3067\u3042\u308b\u3002<\/td>\nAI-C\u3001A beautiful loop\u3001INTREPID \u7cfb\u306e\u7814\u7a76\u3002<\/td>\n2025 \u5e74\u6642\u70b9\u3067\u7406\u8ad6\u7684\u63d0\u6848\u3068\u691c\u8a3c\u8a08\u753b\u306f\u9032\u3093\u3067\u3044\u308b\u304c\u3001\u6c7a\u5b9a\u7684\u306a\u5b9f\u8a3c\u7d50\u8ad6\u306f\u307e\u3060\u306a\u3044[15]<\/a>[16]<\/a>\u3002<\/td>\n<\/tr>\n
\u672a\u89e3\u6c7a\u554f\u984c<\/td>\nactive inference \u304c\u5f37\u5316\u5b66\u7fd2\u3084\u5927\u898f\u6a21\u751f\u6210\u30e2\u30c7\u30eb\u3088\u308a\u4e00\u822c\u7684\u306b\u512a\u308c\u308b\u304b\u306f\u672a\u78ba\u7acb\u3067\u3042\u308b\u3002<\/td>\n\u6027\u80fd\u6bd4\u8f03\u3001\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u3001\u6c4e\u5316\u80fd\u529b\u3002<\/td>\n\u67fb\u8aad\u8ad6\u6587\u306b\u306f\u6709\u671b\u306a\u6280\u8853\u7684\u62e1\u5f35\u304c\u3042\u308b\u304c\u3001\u5e83\u7bc4\u306a\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u306e\u4e00\u822c\u7d50\u8ad6\u306b\u306f\u81f3\u3063\u3066\u3044\u306a\u3044[7]<\/a>[14]<\/a>\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u3053\u306e 3 \u533a\u5206\u304b\u3089\u5c0e\u304b\u308c\u308b\u6700\u91cd\u8981\u70b9\u306f\u5358\u7d14\u3067\u3042\u308b\u3002\u795e\u7d4c\u753b\u50cf\u89e3\u6790\u306e\u65b9\u6cd5\u8ad6\u306f\u78ba\u7acb\u3057\u3066\u3044\u308b\u304c\u3001FEP \u3068 active inference \u306f\u5927\u304d\u306a\u7d71\u4e00\u7406\u8ad6\u5019\u88dc\u3067\u3042\u3063\u3066\u3001\u306a\u304a\u7406\u8ad6\u7af6\u4e89\u3068\u5b9f\u8a3c\u306e\u9014\u4e2d\u306b\u3042\u308b\u3002\u3064\u307e\u308a\u3001\u65b9\u6cd5\u8ad6\u306e\u78ba\u7acb\u3068\u5b58\u5728\u8ad6\u7684\u4e3b\u5f35\u306e\u78ba\u7acb\u3092\u540c\u4e00\u8996\u3057\u3066\u306f\u306a\u3089\u306a\u3044\u3002<\/p>\n

\n

4. \u6570\u7406\u30e2\u30c7\u30eb\u306e\u5c55\u958b<\/h2>\n

\u3053\u3053\u304b\u3089\u5148\u306f\u3001\u524d\u534a\u3067\u5207\u308a\u5206\u3051\u305f 3 \u533a\u5206\u3092\u58ca\u3055\u306a\u3044\u5f62\u3067\u3001\u6570\u7406\u30e2\u30c7\u30eb\u3092\u6bb5\u968e\u7684\u306b\u69cb\u6210\u3059\u308b\u3002\u91cd\u8981\u306a\u306e\u306f\u3001\u6700\u521d\u304b\u3089\u751f\u547d\u3001\u610f\u8b58\u3001\u4e00\u822c\u77e5\u80fd\u3092\u4e00\u3064\u306e\u5b8c\u6210\u7406\u8ad6\u3078\u62bc\u3057\u8fbc\u307e\u306a\u3044\u3053\u3068\u3067\u3042\u308b\u3002\u307e\u305a\u306f\u78ba\u7acb\u3057\u305f\u77e5\u898b\u306b\u5bfe\u5fdc\u3059\u308b\u6700\u5c0f\u6838\u3092\u5b9a\u7fa9\u3057\u3001\u305d\u306e\u4e0a\u306b\u6709\u529b\u4eee\u8aac\u3068\u3057\u3066\u306e\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u3068 active inference \u3092\u8f09\u305b\u3001\u672a\u89e3\u6c7a\u554f\u984c\u306f\u672a\u5b9a\u7fa9\u306e\u307e\u307e\u4e88\u7d04\u5909\u6570\u3068\u3057\u3066\u4fdd\u6301\u3059\u308b\u3002\u3053\u306e\u9806\u5e8f\u3067\u306a\u3044\u3068\u3001\u65b9\u6cd5\u8ad6\u3068\u3057\u3066\u78ba\u7acb\u3057\u305f\u90e8\u5206\u3068\u3001\u7406\u8ad6\u7684\u306b\u9b45\u529b\u7684\u3060\u304c\u672a\u6c7a\u7740\u306a\u90e8\u5206\u304c\u6df7\u540c\u3055\u308c\u308b\u3002<\/p>\n

\u672c\u7a3f\u3067\u306f\u3001\u5f8c\u534a\u306e\u6570\u7406\u30e2\u30c7\u30eb\u3092\u56db\u6bb5\u968e\u3067\u660e\u793a\u3059\u308b\u3002\u7b2c 1 \u6bb5\u968e\u306f\u72b6\u614b\u30fb\u89b3\u6e2c\u30fb\u884c\u52d5\u306e\u6700\u5c0f\u72b6\u614b\u7a7a\u9593\u30e2\u30c7\u30eb\u3001\u7b2c 2 \u6bb5\u968e\u306f\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u306b\u3088\u308b\u77e5\u899a\u66f4\u65b0\u3001\u7b2c 3 \u6bb5\u968e\u306f expected free energy \u306b\u3088\u308b\u653f\u7b56\u9078\u629e\u3001\u7b2c 4 \u6bb5\u968e\u306f\u968e\u5c64\u5316\u30fb\u75c5\u7406\u62e1\u5f35\u30fb\u672a\u89e3\u6c7a\u5909\u6570\u306e\u4e88\u7d04\u3067\u3042\u308b\u3002\u3053\u306e\u56db\u6bb5\u968e\u3092\u5207\u308a\u5206\u3051\u308b\u3053\u3068\u3067\u3001\u3069\u3053\u307e\u3067\u304c\u6bd4\u8f03\u7684\u5805\u3044\u57fa\u5e95\u3067\u3001\u3069\u3053\u304b\u3089\u5148\u304c\u62e1\u5f35\u7406\u8ad6\u306a\u306e\u304b\u3092\u660e\u793a\u3067\u304d\u308b[4]<\/a>[5]<\/a>[6]<\/a>[7]<\/a>\u3002<\/p>\n

4.1. \u7b2c 1 \u6bb5\u968e \u2015\u2015 \u72b6\u614b\u30fb\u89b3\u6e2c\u30fb\u884c\u52d5\u306e\u6700\u5c0f\u72b6\u614b\u7a7a\u9593\u30e2\u30c7\u30eb<\/h3>\n

\u51fa\u767a\u70b9\u306f\u90e8\u5206\u89b3\u6e2c\u72b6\u614b\u7a7a\u9593\u30e2\u30c7\u30eb\u3067\u3042\u308b\u3002\u5916\u754c\u306e\u6f5c\u5728\u72b6\u614b\u3092 \\(x_t\\)\u3001\u89b3\u6e2c\u3092 \\(o_t\\)\u3001\u884c\u52d5\u3092 \\(a_t\\) \u3068\u3059\u308b\u3002\u5916\u754c\u306f\u884c\u52d5\u306e\u5f71\u97ff\u3092\u53d7\u3051\u306a\u304c\u3089\u6642\u9593\u767a\u5c55\u3057\u3001\u89b3\u6e2c\u306f\u6f5c\u5728\u72b6\u614b\u304b\u3089\u751f\u6210\u3055\u308c\u308b\u3002<\/p>\n

\n \\[
\n x_t \\in \\mathcal{X}, \\qquad o_t \\in \\mathcal{O}, \\qquad a_t \\in \\mathcal{A}
\n \\]
\n \\[
\n x_{t+1} \\sim p(x_{t+1} \\mid x_t, a_t)
\n \\]
\n \\[
\n o_t \\sim p(o_t \\mid x_t)
\n \\]\n<\/div>\n

\u3053\u3053\u3067\u7f6e\u3044\u3066\u3044\u308b\u3082\u306e\u306f\u3001\u3042\u304f\u307e\u3067\u73fe\u4ee3\u306e\u8a08\u7b97\u8ad6\u7684\u8a8d\u77e5\u79d1\u5b66\u3067\u5e83\u304f\u4f7f\u308f\u308c\u308b\u6700\u5c0f\u5f62\u3067\u3042\u308b\u3002\u3053\u306e\u6bb5\u968e\u306f\u3001\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u3092\u63a1\u7528\u3057\u306a\u304f\u3066\u3082\u6210\u7acb\u3059\u308b\u3002\u3057\u305f\u304c\u3063\u3066\u7b2c 1 \u6bb5\u968e\u306f\u3001\u524d\u534a\u3067\u3044\u3046\u300c\u78ba\u7acb\u3057\u305f\u77e5\u898b\u300d\u306b\u5bfe\u5fdc\u3059\u308b\u57fa\u5e95\u5c64\u3067\u3042\u308b\u3002\u8133\u3084\u8a8d\u77e5\u3092\u8b70\u8ad6\u3059\u308b\u524d\u306b\u3001\u89b3\u6e2c\u3068\u6f5c\u5728\u72b6\u614b\u306e\u5206\u96e2\u3001\u6642\u9593\u767a\u5c55\u3001\u90e8\u5206\u89b3\u6e2c\u6027\u3092\u5b9a\u7fa9\u3057\u3066\u3044\u308b\u3060\u3051\u3060\u304b\u3089\u3067\u3042\u308b\u3002<\/p>\n

\u3053\u306e\u5f62\u5f0f\u306f\u3001\u5f37\u5316\u5b66\u7fd2\u3001\u5236\u5fa1\u7406\u8ad6\u3001\u30d9\u30a4\u30ba\u63a8\u8ad6\u306a\u3069\u8907\u6570\u306e\u7406\u8ad6\u3068\u4e92\u63db\u6027\u3092\u6301\u3064\u6700\u5c0f\u5171\u901a\u57fa\u76e4\u3067\u3042\u308b\u3002<\/p>\n

\u5185\u90e8\u72b6\u614b\u306f\u3001\u5916\u754c\u305d\u306e\u3082\u306e\u3067\u306f\u306a\u304f\u5916\u754c\u306b\u95a2\u3059\u308b\u5185\u90e8\u4fe1\u5ff5\u3067\u3042\u308b\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u5185\u90e8\u72b6\u614b\u3092\u8fd1\u4f3c\u4e8b\u5f8c\u5206\u5e03 \\(q_t(x_t)\\) \u3068\u3057\u3066\u7f6e\u304f\u3002<\/p>\n

\n \\[
\n s_t \\equiv q_t(x_t)
\n \\]
\n \\[
\n q_t(x_t) \\approx p(x_t \\mid o_{1:t}, a_{1:t-1})
\n \\]\n<\/div>\n

\u3053\u306e\u66f8\u304d\u65b9\u306b\u3088\u308a\u3001\u5185\u90e8\u72b6\u614b\u306f\u300c\u4e16\u754c\u306e\u8907\u88fd\u300d\u3067\u306f\u306a\u304f\u300c\u4e16\u754c\u306e\u63a8\u5b9a\u300d\u3068\u3057\u3066\u6271\u308f\u308c\u308b\u3002\u3053\u3053\u307e\u3067\u306f\u3001\u30d9\u30a4\u30ba\u7684\u8133\u89b3\u3084\u751f\u6210\u30e2\u30c7\u30eb\u7684\u8a8d\u77e5\u306e\u4e00\u822c\u7684\u67a0\u7d44\u307f\u306b\u6574\u5408\u3059\u308b\u3002<\/p>\n

4.2. \u7b2c 2 \u6bb5\u968e \u2015\u2015 \u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u306b\u3088\u308b\u77e5\u899a\u66f4\u65b0<\/h3>\n

\u7b2c 2 \u6bb5\u968e\u3067\u306f\u3001\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u306b\u7279\u6709\u306e\u91cf\u3092\u5c0e\u5165\u3059\u308b\u3002\u89b3\u6e2c \\(o_t\\) \u3068\u6f5c\u5728\u72b6\u614b \\(x_t\\) \u306b\u5bfe\u3059\u308b\u751f\u6210\u30e2\u30c7\u30eb \\(p(o_t, x_t)\\) \u3092\u6301\u3064\u3068\u304d\u3001\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u306f\u6b21\u3067\u5b9a\u7fa9\u3055\u308c\u308b\u3002<\/p>\n

\n \\[
\n F_t[q] = \\mathbb{E}_{q(x_t)}\\bigl[\\ln q(x_t) – \\ln p(o_t, x_t)\\bigr]
\n \\]
\n \\[
\n F_t[q] = D_{\\mathrm{KL}}\\bigl(q(x_t)\\,\\|\\,p(x_t\\mid o_t)\\bigr) – \\ln p(o_t)
\n \\]\n<\/div>\n

\u53f3\u8fba\u7b2c 2 \u5f0f\u306f\u3001\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u304c\u771f\u306e\u4e8b\u5f8c\u5206\u5e03\u3068\u306e\u8ddd\u96e2\u3068\u89b3\u6e2c\u306e\u9a5a\u304d\u306b\u5206\u89e3\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u308b\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u8fd1\u4f3c\u4e8b\u5f8c \\(q\\) \u306b\u95a2\u3057\u3066 \\(F_t[q]\\) \u3092\u6700\u5c0f\u5316\u3059\u308b\u3053\u3068\u306f\u3001\u5185\u90e8\u4fe1\u5ff5\u3092\u771f\u306e\u4e8b\u5f8c\u306b\u8fd1\u3065\u3051\u308b\u3053\u3068\u306b\u5bfe\u5fdc\u3059\u308b\u3002\u77e5\u899a\u66f4\u65b0\u306f\u6b21\u306e\u3088\u3046\u306b\u66f8\u3051\u308b\u3002<\/p>\n

\n \\[
\n q_t^* = \\arg\\min_q F_t[q]
\n \\]\n<\/div>\n

\u9023\u7d9a\u6642\u9593\u98a8\u306b\u66f8\u3051\u3070\u3001\u5185\u90e8\u72b6\u614b\u306f\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u306e\u52fe\u914d\u6d41\u3068\u3057\u3066\u66f4\u65b0\u3055\u308c\u308b\u3002<\/p>\n

\n \\[
\n \\dot{s}_t = -\\eta \\, \\nabla_s F_t
\n \\]\n<\/div>\n

\u96e2\u6563\u6642\u9593\u3067\u306f\u3001\u6b21\u306e\u66f4\u65b0\u5247\u3068\u3057\u3066\u8fd1\u4f3c\u3067\u304d\u308b\u3002<\/p>\n

\n \\[
\n s_{t+1} = s_t – \\eta \\, \\nabla_s F_t
\n \\]\n<\/div>\n

predictive coding \u306b\u5bc4\u305b\u305f\u5f62\u306b\u66f8\u304f\u306a\u3089\u3001\u89b3\u6e2c\u4e88\u6e2c \\(\\hat{o}_t\\) \u3068\u4e88\u6e2c\u8aa4\u5dee \\(\\varepsilon_t\\) \u3092\u7528\u3044\u3066\u3001<\/p>\n

\n \\[
\n \\hat{o}_t = g(s_t)
\n \\]
\n \\[
\n \\varepsilon_t = o_t – \\hat{o}_t
\n \\]
\n \\[
\n s_{t+1} = s_t + \\eta K_t \\varepsilon_t
\n \\]\n<\/div>\n

\u3068\u66f8\u3051\u308b\u3002\u3053\u3053\u3067 \\(K_t\\) \u306f\u8aa4\u5dee\u306e\u7cbe\u5ea6\u91cd\u307f\u4ed8\u3051\u3067\u3042\u308a\u3001\u3069\u306e\u8aa4\u5dee\u6210\u5206\u3092\u3069\u308c\u3060\u3051\u4fe1\u983c\u3059\u308b\u304b\u3092\u8868\u3059\u3002\u7b2c 2 \u6bb5\u968e\u306f\u3001\u7406\u8ad6\u7684\u306b\u306f\u975e\u5e38\u306b\u6574\u3063\u3066\u3044\u308b\u304c\u3001\u524d\u534a\u3067\u6574\u7406\u3057\u305f\u3068\u304a\u308a\u3001\u300c\u77e5\u899a\u3092\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u3068\u3057\u3066\u8a18\u8ff0\u3059\u308b\u3053\u3068\u300d\u304c\u305d\u306e\u307e\u307e\u81ea\u7136\u79d1\u5b66\u306e\u552f\u4e00\u306e\u57fa\u790e\u6cd5\u5247\u3067\u3042\u308b\u3068\u307e\u3067\u306f\u8a00\u3048\u306a\u3044\u3002\u3057\u305f\u304c\u3063\u3066\u3053\u306e\u5c64\u306f\u3001\u6709\u529b\u4eee\u8aac\u306e\u4e2d\u5fc3\u306b\u4f4d\u7f6e\u3065\u304f[4]<\/a>[9]<\/a>[10]<\/a>\u3002<\/p>\n

\u91cd\u8981\u306a\u306e\u306f\u3001\u3053\u306e\u6700\u5c0f\u5316\u304c\u300c\u8a18\u8ff0\u3068\u3057\u3066\u7b49\u4fa1\u300d\u3067\u3042\u308b\u3053\u3068\u3068\u3001\u300c\u8133\u304c\u5b9f\u969b\u306b\u3053\u306e\u91cf\u3092\u8a08\u7b97\u3057\u3066\u3044\u308b\u300d\u3068\u3044\u3046\u4e3b\u5f35\u3068\u306f\u5225\u3067\u3042\u308b\u70b9\u3067\u3042\u308b\u3002<\/p>\n

4.3. \u7b2c 3 \u6bb5\u968e \u2015\u2015 expected free energy \u306b\u3088\u308b\u653f\u7b56\u9078\u629e<\/h3>\n

\u7b2c 3 \u6bb5\u968e\u3067\u306f\u3001\u77e5\u899a\u3060\u3051\u3067\u306a\u304f\u884c\u52d5\u307e\u3067\u540c\u4e00\u67a0\u7d44\u307f\u3067\u6271\u3046\u3002\u653f\u7b56 \\(\\pi\\) \u3092\u5c06\u6765\u306e\u884c\u52d5\u7cfb\u5217\u3068\u3057\u3001\u305d\u306e\u8a55\u4fa1\u91cf\u3092\u671f\u5f85\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc \\(G_t(\\pi)\\) \u3068\u3059\u308b\u3002\u4e00\u822c\u5f62\u306f\u6b21\u306e\u3088\u3046\u306b\u66f8\u3051\u308b\u3002<\/p>\n

\n \\[
\n G_t(\\pi) =
\n \\mathbb{E}_{q(o_{t:T},x_{t:T}\\mid \\pi)}
\n \\bigl[
\n \\ln q(x_{t:T}\\mid \\pi) – \\ln p(o_{t:T},x_{t:T}\\mid \\pi)
\n \\bigr]
\n \\]
\n \\[
\n \\pi_t^* = \\arg\\min_{\\pi} G_t(\\pi)
\n \\]\n<\/div>\n

\u3053\u306e\u91cf\u306f\u3001\u6a5f\u80fd\u7684\u306b\u306f\u76ee\u6a19\u9054\u6210\u306b\u95a2\u308f\u308b\u9805\u3068\u60c5\u5831\u7372\u5f97\u306b\u95a2\u308f\u308b\u9805\u3078\u5206\u89e3\u3067\u304d\u308b\u3002<\/p>\n

\n \\[
\n G_t(\\pi) = G_t^{\\mathrm{pragmatic}}(\\pi) + G_t^{\\mathrm{epistemic}}(\\pi)
\n \\]\n<\/div>\n

\u307e\u305f\u3001\u7b26\u53f7\u3092\u5909\u3048\u3066\u4fa1\u5024\u3068\u3057\u3066\u66f8\u3051\u3070\u3001<\/p>\n

\n \\[
\n G_t(\\pi) \\approx – V_{\\mathrm{extrinsic}}(\\pi) – V_{\\mathrm{epistemic}}(\\pi)
\n \\]\n<\/div>\n

\u3068\u7406\u89e3\u3067\u304d\u308b\u3002\\(V_{\\mathrm{extrinsic}}\\) \u306f\u76ee\u6a19\u72b6\u614b\u3084\u9078\u597d\u72b6\u614b\u3078\u306e\u63a5\u8fd1\u3001\\(V_{\\mathrm{epistemic}}\\) \u306f\u4e0d\u78ba\u5b9f\u6027\u4f4e\u6e1b\u3001\u3059\u306a\u308f\u3061\u60c5\u5831\u5229\u5f97\u306b\u5bfe\u5fdc\u3059\u308b\u3002\u3053\u308c\u306b\u3088\u308a\u63a2\u7d22\u3068\u5229\u7528\u306f\u3001\u5225\u3005\u306e\u539f\u7406\u3067\u306f\u306a\u304f\u3001\u4e00\u3064\u306e\u8a55\u4fa1\u91cf\u306e\u4e2d\u3067\u7d71\u4e00\u7684\u306b\u6271\u308f\u308c\u308b[5]<\/a>[6]<\/a>[7]<\/a>\u3002<\/p>\n

\u3053\u306e\u3068\u304d\u3001\u89b3\u6e2c\u30fb\u63a8\u8ad6\u30fb\u884c\u52d5\u306e\u9589\u30eb\u30fc\u30d7\u306f\u6b21\u306e 5 \u30b9\u30c6\u30c3\u30d7\u3067\u8a18\u8ff0\u3067\u304d\u308b\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
\u6bb5\u968e<\/th>\n\u66f4\u65b0\u5185\u5bb9<\/th>\n\u5f0f<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>\n\u5916\u754c\u304c\u9032\u3080\u3002<\/td>\n\\(x_{t+1} \\sim p(x_{t+1}\\mid x_t, a_t)\\)<\/td>\n<\/tr>\n
2<\/td>\n\u65b0\u3057\u3044\u89b3\u6e2c\u304c\u5f97\u3089\u308c\u308b\u3002<\/td>\n\\(o_{t+1} \\sim p(o_{t+1}\\mid x_{t+1})\\)<\/td>\n<\/tr>\n
3<\/td>\n\u5185\u90e8\u4fe1\u5ff5\u3092\u66f4\u65b0\u3059\u308b\u3002<\/td>\n\\(q_{t+1} = \\arg\\min_q F_{t+1}[q]\\)<\/td>\n<\/tr>\n
4<\/td>\n\u653f\u7b56\u3092\u9078\u629e\u3059\u308b\u3002<\/td>\n\\(\\pi_{t+1} = \\arg\\min_{\\pi} G_{t+1}(\\pi)\\)<\/td>\n<\/tr>\n
5<\/td>\n\u653f\u7b56\u306b\u57fa\u3065\u304d\u884c\u52d5\u3059\u308b\u3002<\/td>\n\\(a_{t+1} \\sim p(a_{t+1}\\mid \\pi_{t+1})\\)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7b2c 3 \u6bb5\u968e\u307e\u3067\u3067\u3001\u89b3\u6e2c\u3001\u77e5\u899a\u3001\u884c\u52d5\u3092\u4e00\u3064\u306e\u6570\u7406\u7cfb\u306b\u53ce\u3081\u3089\u308c\u308b\u3002\u305f\u3060\u3057\u524d\u534a\u3067\u6574\u7406\u3057\u305f\u3088\u3046\u306b\u3001\u3053\u3053\u304b\u3089\u76f4\u3061\u306b\u300c\u3053\u306e\u67a0\u7d44\u307f\u304c\u4ed6\u306e\u610f\u601d\u6c7a\u5b9a\u7406\u8ad6\u3088\u308a\u4e00\u822c\u7684\u306b\u512a\u308c\u3066\u3044\u308b\u300d\u3068\u306f\u8a00\u3048\u306a\u3044\u3002\u305d\u306e\u70b9\u306f\u306a\u304a\u672a\u6c7a\u7740\u3067\u3042\u308b\u3002<\/p>\n

\u3057\u305f\u304c\u3063\u3066\u3001\u3053\u306e\u5b9a\u5f0f\u5316\u306f\u6709\u529b\u306a\u7d71\u4e00\u8a18\u8ff0\u3067\u3042\u308b\u304c\u3001\u5f37\u5316\u5b66\u7fd2\u306a\u3069\u65e2\u5b58\u7406\u8ad6\u306b\u5bfe\u3059\u308b\u4e00\u822c\u7684\u512a\u4f4d\u3092\u4fdd\u8a3c\u3059\u308b\u3082\u306e\u3067\u306f\u306a\u3044\u3002<\/p>\n

4.4. \u7b2c 4 \u6bb5\u968e \u2015\u2015 \u968e\u5c64\u5316\u3001\u75c5\u7406\u62e1\u5f35\u3001\u4e88\u7d04\u5909\u6570<\/h3>\n

\u7b2c 4 \u6bb5\u968e\u3067\u306f\u3001\u5358\u4e00\u72b6\u614b\u306e\u6700\u5c0f\u7cfb\u3092\u62e1\u5f35\u3059\u308b\u3002\u305f\u3060\u3057\u3001\u3053\u306e\u62e1\u5f35\u306f\u4e09\u3064\u306b\u5206\u3051\u3066\u6271\u3046\u3079\u304d\u3067\u3042\u308b\u3002\u7b2c\u4e00\u306b\u3001\u6bd4\u8f03\u7684\u81ea\u7136\u306a\u6570\u5b66\u7684\u62e1\u5f35\u3068\u3057\u3066\u306e\u968e\u5c64\u5316\u3002\u7b2c\u4e8c\u306b\u3001\u8a08\u7b97\u7cbe\u795e\u533b\u5b66\u306b\u5bfe\u5fdc\u3059\u308b\u75c5\u7406\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u306e\u5c0e\u5165\u3002\u7b2c\u4e09\u306b\u3001\u610f\u8b58\u3084\u81ea\u5df1\u306e\u3088\u3046\u306a\u672a\u89e3\u6c7a\u5909\u6570\u306e\u4e88\u7d04\u3067\u3042\u308b\u3002<\/p>\n

4.4.1. \u968e\u5c64\u751f\u6210\u30e2\u30c7\u30eb<\/h4>\n

\u5358\u4e00\u72b6\u614b \\(x_t\\) \u3067\u306f\u3001\u9ad8\u6b21\u6587\u8108\u3084\u6982\u5ff5\u30ec\u30d9\u30eb\u306e\u62d8\u675f\u3092\u8868\u3057\u306b\u304f\u3044\u3002\u305d\u3053\u3067\u3001\u4f4e\u6b21\u611f\u899a\u72b6\u614b \\(x_t^{(1)}\\) \u3068\u9ad8\u6b21\u6587\u8108\u72b6\u614b \\(x_t^{(2)}\\) \u3092\u5206\u3051\u308b\u3002<\/p>\n

\n \\[
\n o_t \\sim p(o_t \\mid x_t^{(1)})
\n \\]
\n \\[
\n x_t^{(1)} \\sim p(x_t^{(1)} \\mid x_t^{(2)})
\n \\]
\n \\[
\n x_{t+1}^{(2)} \\sim p(x_{t+1}^{(2)} \\mid x_t^{(2)}, a_t)
\n \\]\n<\/div>\n

\u3053\u306e\u66f8\u304d\u65b9\u306b\u3088\u308a\u3001\u9ad8\u6b21\u6587\u8108\u304c\u4f4e\u6b21\u77e5\u899a\u3092\u62d8\u675f\u3059\u308b\u69cb\u9020\u3001\u3059\u306a\u308f\u3061 predictive coding \u7684\u968e\u5c64\u6027\u3092\u660e\u793a\u3067\u304d\u308b\u3002\u3055\u3089\u306b\u9ad8\u6b21\u306e\u5c64\u3092\u5897\u3084\u305b\u3070\u3001\u6587\u8108\u3001\u6982\u5ff5\u3001\u8ab2\u984c\u8a2d\u5b9a\u3001\u81ea\u5df1\u30e2\u30c7\u30eb\u306a\u3069\u3092\u9806\u306b\u8ffd\u52a0\u3067\u304d\u308b\u3002<\/p>\n

4.4.2. \u75c5\u7406\u306f\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u7570\u5e38\u3068\u3057\u3066\u5165\u308c\u308b<\/h4>\n

\u7d71\u5408\u5931\u8abf\u75c7\u306a\u3069\u306e\u75c5\u7406\u3092\u7406\u8ad6\u3078\u5165\u308c\u308b\u3068\u304d\u306b\u3001\u65b0\u3057\u3044\u529b\u5b66\u7cfb\u3092\u5225\u306b\u4f5c\u308b\u5fc5\u8981\u306f\u306a\u3044\u3002\u901a\u5e38\u7cfb\u306e\u66f4\u65b0\u5247\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u7570\u5e38\u3068\u3057\u3066\u66f8\u304f\u65b9\u304c\u4e00\u8cab\u3057\u3066\u3044\u308b\u3002\u3082\u3063\u3068\u3082\u5358\u7d14\u306b\u306f\u3001\u7cbe\u5ea6\u91cd\u307f\u4ed8\u3051 \\(K_t\\) \u306e\u7570\u5e38\u3068\u3001\u5185\u90e8\u9077\u79fb\u30e2\u30c7\u30eb\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc \\(\\Theta\\) \u306e\u7570\u5e38\u3092\u5c0e\u5165\u3059\u308c\u3070\u3088\u3044\u3002<\/p>\n

\n \\[
\n K_t \\rightarrow K_t’
\n \\]
\n \\[
\n p(x_{t+1} \\mid x_t, a_t; \\Theta) \\rightarrow p(x_{t+1} \\mid x_t, a_t; \\Theta’)
\n \\]\n<\/div>\n

\u611f\u899a\u8aa4\u5dee\u306e\u91cd\u307f\u304c\u904e\u5927\u5316\u3059\u308c\u3070\u3001\u5076\u7136\u7684\u3086\u3089\u304e\u304c\u904e\u5ea6\u306b\u610f\u5473\u3065\u3051\u3089\u308c\u3084\u3059\u304f\u306a\u308b\u3002\u9006\u306b\u9ad8\u6b21\u4e8b\u524d\u304c\u904e\u5927\u306b\u56fa\u5b9a\u3055\u308c\u308c\u3070\u3001\u53cd\u8a3c\u5165\u529b\u306b\u5bfe\u3057\u3066\u3082\u4fe1\u5ff5\u304c\u786c\u76f4\u3057\u3084\u3059\u304f\u306a\u308b\u3002\u3053\u306e\u65b9\u5411\u304c dysconnection hypothesis \u3084 precision weighting \u7570\u5e38\u30e2\u30c7\u30eb\u306b\u63a5\u7d9a\u3059\u308b[12]<\/a>[13]<\/a>\u3002\u3053\u308c\u306f\u69cb\u9020\u632f\u52d5\u306e\u5229\u5f97\u3068\u7d50\u5408\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u7a7a\u9593\u4e0a\u306e\u9077\u79fb\u3068\u3057\u3066\u7406\u89e3\u3067\u304d\u308b\u3002<\/p>\n

4.4.3. \u610f\u8b58\u30fb\u81ea\u5df1\u30fb\u793e\u4f1a\u6027\u306f\u4e88\u7d04\u5909\u6570\u3068\u3057\u3066\u4fdd\u6301\u3059\u308b<\/h4>\n

2026 \u5e74\u6642\u70b9\u3067\u306f\u3001active inference \u306b\u57fa\u3065\u304f\u610f\u8b58\u7406\u8ad6\u3084\u81ea\u5df1\u30e2\u30c7\u30eb\u7406\u8ad6\u306f\u3001\u67fb\u8aad\u8ad6\u6587\u304c\u73fe\u308c\u59cb\u3081\u3066\u3044\u308b\u304c\u3001\u6c7a\u5b9a\u7684\u306a\u5b9f\u8a3c\u7d50\u8ad6\u306b\u306f\u81f3\u3063\u3066\u3044\u306a\u3044\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u3053\u308c\u3089\u3092\u65e2\u77e5\u306e\u91cf\u3068\u3057\u3066\u4e3b\u65b9\u7a0b\u5f0f\u3078\u7e54\u308a\u8fbc\u3080\u306e\u3067\u306f\u306a\u304f\u3001\u4e88\u7d04\u5909\u6570\u3068\u3057\u3066\u4fdd\u6301\u3059\u308b\u3002<\/p>\n

\n \\[
\n C_t = \\Psi(q_t, \\Theta_t, \\text{global integration})
\n \\]
\n \\[
\n \\Sigma_t = \\Xi(q_t, a_{1:t}, o_{1:t})
\n \\]
\n \\[
\n \\Gamma_t = \\Omega(\\Sigma_t, \\text{models of others})
\n \\]\n<\/div>\n

\u3053\u3053\u3067 \\(C_t\\) \u306f\u610f\u8b58\u72b6\u614b\u3001\\(\\Sigma_t\\) \u306f\u81ea\u5df1\u30e2\u30c7\u30eb\u3001\\(\\Gamma_t\\) \u306f\u4ed6\u8005\u3084\u793e\u4f1a\u7684\u72b6\u6cc1\u306b\u95a2\u3059\u308b\u30e2\u30c7\u30eb\u3092\u8868\u3059\u4e88\u7d04\u5909\u6570\u3067\u3042\u308b\u3002\u3053\u306e\u6bb5\u968e\u3067\u306f\u300c\u305d\u306e\u3088\u3046\u306a\u5909\u6570\u3092\u7f6e\u3051\u308b\u300d\u3053\u3068\u3060\u3051\u3092\u660e\u793a\u3057\u3001\u5b9f\u8a3c\u7684\u5185\u5bb9\u3092\u5148\u53d6\u308a\u3057\u306a\u3044\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u7406\u8ad6\u306e\u62e1\u5f35\u53ef\u80fd\u6027\u3068\u3001\u73fe\u6642\u70b9\u3067\u306e\u672a\u89e3\u6c7a\u6027\u3068\u3092\u540c\u6642\u306b\u4fdd\u5b58\u3067\u304d\u308b[15]<\/a>[16]<\/a>\u3002<\/p>\n

4.5. \u6700\u5c0f\u8a18\u53f7\u8868<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u8a18\u53f7<\/th>\n\u610f\u5473<\/th>\n\u4f4d\u7f6e\u3065\u3051<\/th>\n<\/tr>\n<\/thead>\n
\\(x_t\\)<\/td>\n\u6642\u523b \\(t\\) \u306e\u5916\u754c\u306e\u6f5c\u5728\u72b6\u614b\u3002<\/td>\n\u78ba\u7acb\u3057\u305f\u77e5\u898b\u306b\u6574\u5408\u3059\u308b\u57fa\u5e95\u5909\u6570\u3002<\/td>\n<\/tr>\n
\\(o_t\\)<\/td>\n\u6642\u523b \\(t\\) \u306e\u611f\u899a\u89b3\u6e2c\u3002<\/td>\n\u78ba\u7acb\u3057\u305f\u77e5\u898b\u306b\u6574\u5408\u3059\u308b\u57fa\u5e95\u5909\u6570\u3002<\/td>\n<\/tr>\n
\\(a_t\\)<\/td>\n\u6642\u523b \\(t\\) \u306e\u884c\u52d5\u3002<\/td>\n\u78ba\u7acb\u3057\u305f\u77e5\u898b\u306b\u6574\u5408\u3059\u308b\u57fa\u5e95\u5909\u6570\u3002<\/td>\n<\/tr>\n
\\(q_t(x_t)\\)<\/td>\n\u6f5c\u5728\u72b6\u614b\u306b\u95a2\u3059\u308b\u5185\u90e8\u4fe1\u5ff5\u3002<\/td>\n\u751f\u6210\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u63a8\u8ad6\u8868\u73fe\u3002<\/td>\n<\/tr>\n
\\(F_t[q]\\)<\/td>\n\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u3002<\/td>\n\u6709\u529b\u4eee\u8aac\u306e\u4e2d\u5fc3\u91cf\u3002<\/td>\n<\/tr>\n
\\(G_t(\\pi)\\)<\/td>\n\u671f\u5f85\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u3002<\/td>\n\u6709\u529b\u4eee\u8aac\u306e\u4e2d\u5fc3\u91cf\u3002<\/td>\n<\/tr>\n
\\(K_t\\)<\/td>\n\u4e88\u6e2c\u8aa4\u5dee\u306e\u7cbe\u5ea6\u91cd\u307f\u4ed8\u3051\u3002<\/td>\n\u75c5\u7406\u62e1\u5f35\u3067\u91cd\u8981\u306b\u306a\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3002<\/td>\n<\/tr>\n
\\(\\Theta\\)<\/td>\n\u5185\u90e8\u9077\u79fb\u3084\u7d50\u5408\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3002<\/td>\n\u901a\u5e38\u7cfb\u3068\u75c5\u7406\u7cfb\u306e\u63a5\u70b9\u3002<\/td>\n<\/tr>\n
\\(C_t\\)<\/td>\n\u610f\u8b58\u72b6\u614b\u3002<\/td>\n\u672a\u89e3\u6c7a\u554f\u984c\u3068\u3057\u3066\u4e88\u7d04\u3059\u308b\u5909\u6570\u3002<\/td>\n<\/tr>\n
\\(\\Sigma_t\\)<\/td>\n\u81ea\u5df1\u30e2\u30c7\u30eb\u3002<\/td>\n\u672a\u89e3\u6c7a\u554f\u984c\u3068\u3057\u3066\u4e88\u7d04\u3059\u308b\u5909\u6570\u3002<\/td>\n<\/tr>\n
\\(\\Gamma_t\\)<\/td>\n\u793e\u4f1a\u7684\u30fb\u4ed6\u8005\u30e2\u30c7\u30eb\u3002<\/td>\n\u672a\u89e3\u6c7a\u554f\u984c\u3068\u3057\u3066\u4e88\u7d04\u3059\u308b\u5909\u6570\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

5. \u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u3068\u306e\u6570\u5f0f\u7684\u7d71\u5408<\/h2>\n

\u3053\u3053\u307e\u3067\u306e\u56db\u6bb5\u968e\u30e2\u30c7\u30eb\u306f\u3001\u72b6\u614b\u3001\u89b3\u6e2c\u3001\u884c\u52d5\u3001\u5185\u90e8\u4fe1\u5ff5\u3092\u6838\u3068\u3057\u3001\u305d\u306e\u4e0a\u306b\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u3068 expected free energy \u306b\u3088\u308b\u653f\u7b56\u9078\u629e\u3092\u91cd\u306d\u305f\u3082\u306e\u3067\u3042\u3063\u305f\u3002\u3053\u306e\u69cb\u9020\u306f\u3001\u305d\u306e\u307e\u307e\u3067\u3082\u9589\u3058\u305f\u7406\u8ad6\u3068\u3057\u3066\u8aad\u3081\u308b\u304c\u3001\u3088\u308a\u4e00\u822c\u7684\u306b\u306f\u300c\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb<\/a>\u300d\u306e\u7279\u6b8a\u5f62\u3068\u3057\u3066\u518d\u89e3\u91c8\u3067\u304d\u308b\u3002<\/p>\n

\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u3067\u306f\u3001\u7cfb\u306f\u56fa\u5b9a\u7684\u306a\u5b9f\u4f53\u3067\u306f\u306a\u304f\u3001\u72b6\u614b\u3001\u74b0\u5883\u3001\u89b3\u6e2c\u3001\u4ecb\u5165\u306e\u76f8\u4e92\u4f5c\u7528\u306b\u3088\u3063\u3066\u66f4\u65b0\u3055\u308c\u7d9a\u3051\u308b\u69cb\u9020\u3067\u3042\u308b\u3002\u3053\u306e\u6700\u5c0f\u69cb\u6210\u3092\u3001\u672c\u7a3f\u3067\u306f\u6b21\u306e 5 \u8981\u7d20\u3067\u8868\u3059\u3002<\/p>\n

\n \\[
\n S_t \\in \\mathcal{S}, \\qquad C_t \\in \\mathcal{C}, \\qquad O_t \\in \\mathcal{O}, \\qquad U_t \\in \\mathcal{U}
\n \\]
\n \\[
\n S_{t+1} = M(S_t, C_t, O_t, U_t)
\n \\]\n<\/div>\n

\u3053\u3053\u3067 \\(S_t\\) \u306f\u6642\u523b \\(t\\) \u306b\u304a\u3051\u308b\u69cb\u9020\u72b6\u614b\u3001\\(C_t\\) \u306f\u74b0\u5883\u307e\u305f\u306f\u5236\u7d04\u6761\u4ef6\u3001\\(O_t\\) \u306f\u89b3\u6e2c\u3001\\(U_t\\) \u306f\u4ecb\u5165\u3001\\(M\\) \u306f\u66f4\u65b0\u5199\u50cf\u3067\u3042\u308b\u3002\u3053\u306e\u5f0f\u306f\u3001\u72b6\u614b\u7a7a\u9593\u30e2\u30c7\u30eb\u3088\u308a\u4e00\u6bb5\u4e00\u822c\u7684\u3067\u3042\u308a\u3001\u77e5\u899a\u7cfb\u306b\u3082\u751f\u4f53\u7cfb\u306b\u3082\u793e\u4f1a\u7cfb\u306b\u3082\u9069\u7528\u3067\u304d\u308b\u3002<\/p>\n

FEP \/ active inference \u306e\u67a0\u7d44\u307f\u306f\u3001\u3053\u306e\u4e00\u822c\u5f0f\u306e\u4e2d\u3067\u3001\u72b6\u614b\u3092\u300c\u5916\u754c\u72b6\u614b\u3068\u5185\u90e8\u4fe1\u5ff5\u306e\u7d50\u5408\u72b6\u614b\u300d\u3068\u3057\u3066\u5177\u4f53\u5316\u3057\u305f\u5834\u5408\u306b\u5f97\u3089\u308c\u308b\u3002\u3059\u306a\u308f\u3061\u3001<\/p>\n

\n \\[
\n S_t = (x_t, q_t)
\n \\]
\n \\[
\n C_t = p(x_{t+1}\\mid x_t, a_t)
\n \\]
\n \\[
\n O_t = o_t
\n \\]
\n \\[
\n U_t = a_t
\n \\]\n<\/div>\n

\u3068\u5bfe\u5fdc\u3065\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002\u3053\u3053\u3067 \\(x_t\\) \u306f\u5916\u754c\u306e\u6f5c\u5728\u72b6\u614b\u3001\\(q_t\\) \u306f\u305d\u306e\u8fd1\u4f3c\u4e8b\u5f8c\u3001\\(a_t\\) \u306f\u4ecb\u5165\u3068\u3057\u3066\u306e\u884c\u52d5\u3001\\(o_t\\) \u306f\u89b3\u6e2c\u3067\u3042\u308b\u3002\u3057\u305f\u304c\u3063\u3066\u3001FEP \u7cfb\u306e\u6700\u5c0f\u6838\u306f\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u7279\u5b9a\u306e\u5b9f\u88c5\u306b\u3059\u304e\u306a\u3044\u3002<\/p>\n

\u3053\u306e\u3068\u304d\u3001\u69cb\u9020\u306e\u6642\u9593\u767a\u5c55\u306f\u300c\u5358\u306a\u308b\u66f4\u65b0\u300d\u3067\u306f\u306a\u304f\u3001\u300c\u3042\u308b\u8a55\u4fa1\u91cf\u306e\u3082\u3068\u3067\u62d8\u675f\u3055\u308c\u305f\u66f4\u65b0\u300d\u3068\u3057\u3066\u66f8\u3051\u308b\u3002\u3082\u3063\u3068\u3082\u4e00\u822c\u306b\u306f\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u66f4\u65b0\u3092\u6b21\u306e\u5909\u5206\u554f\u984c\u3068\u3057\u3066\u7f6e\u3051\u308b\u3002<\/p>\n

\n \\[
\n S_{t+1} = \\arg\\min_{S’} \\mathcal{J}(S’; S_t, C_t, O_t, U_t)
\n \\]\n<\/div>\n

\u3053\u3053\u3067 \\(\\mathcal{J}\\) \u306f\u66f4\u65b0\u3092\u62d8\u675f\u3059\u308b\u6c4e\u95a2\u6570\u3067\u3042\u308b\u3002\u3053\u306e \\(\\mathcal{J}\\) \u3092\u3069\u3046\u9078\u3076\u304b\u306b\u3088\u3063\u3066\u3001\u632f\u52d5\u69cb\u9020\u306e\u5177\u4f53\u7684\u306a\u529b\u5b66\u304c\u6c7a\u307e\u308b\u3002FEP \u306e\u5834\u5408\u306b\u306f\u3001\u3053\u306e \\(\\mathcal{J}\\) \u304c\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u306b\u5bfe\u5fdc\u3059\u308b\u3002<\/p>\n

\n \\[
\n \\mathcal{J}_{\\mathrm{FEP}} \\equiv F_t[q]
\n = \\mathbb{E}_{q(x_t)}\\bigl[\\ln q(x_t) – \\ln p(o_t, x_t)\\bigr]
\n \\]\n<\/div>\n

\u3057\u305f\u304c\u3063\u3066\u3001\u77e5\u899a\u66f4\u65b0\u306f\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u4e00\u822c\u66f4\u65b0\u5f0f\u306e\u4e2d\u3067\u3001\u5185\u90e8\u4fe1\u5ff5 \\(q_t\\) \u306b\u95a2\u3059\u308b\u90e8\u5206\u6700\u9069\u5316\u3068\u3057\u3066\u66f8\u304d\u76f4\u305b\u308b\u3002<\/p>\n

\n \\[
\n q_t^* = \\arg\\min_q \\mathcal{J}_{\\mathrm{FEP}}(q; S_t, C_t, O_t, U_t)
\n \\]
\n \\[
\n q_t^* = \\arg\\min_q F_t[q]
\n \\]\n<\/div>\n

\u3055\u3089\u306b\u3001\u3053\u306e\u66f4\u65b0\u3092\u52fe\u914d\u6d41\u3068\u3057\u3066\u8fd1\u4f3c\u3059\u308c\u3070\u3001\u69cb\u9020\u632f\u52d5\u306f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u9762\u4e0a\u306e\u62d8\u675f\u904b\u52d5\u306b\u306a\u308b\u3002<\/p>\n

\n \\[
\n \\dot{S}_t = – \\nabla_S \\mathcal{J}(S_t; C_t, O_t, U_t)
\n \\]\n<\/div>\n

FEP \u306e\u77e5\u899a\u66f4\u65b0\u306f\u305d\u306e\u7279\u6b8a\u5f62\u3068\u3057\u3066\u3001<\/p>\n

\n \\[
\n \\dot{q}_t = – \\eta \\nabla_q F_t[q]
\n \\]
\n \\[
\n q_{t+1} = q_t – \\eta \\nabla_q F_t[q]
\n \\]\n<\/div>\n

\u3068\u66f8\u3051\u308b\u3002\u3064\u307e\u308a\u3001\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u306f\u300c\u69cb\u9020\u632f\u52d5\u3092\u5b89\u5b9a\u5316\u3055\u305b\u308b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u52fe\u914d\u6d41\u300d\u3067\u3042\u308b\u3068\u89e3\u91c8\u3067\u304d\u308b\u3002<\/p>\n

predictive coding \u306e\u8aa4\u5dee\u66f4\u65b0\u3082\u3001\u540c\u3058\u67a0\u5185\u3067\u8aad\u3081\u308b\u3002\u89b3\u6e2c\u4e88\u6e2c \\(\\hat{o}_t\\) \u3068\u4e88\u6e2c\u8aa4\u5dee \\(\\varepsilon_t\\) \u3092\u7528\u3044\u308c\u3070\u3001<\/p>\n

\n \\[
\n \\hat{o}_t = g(q_t)
\n \\]
\n \\[
\n \\varepsilon_t = o_t – \\hat{o}_t
\n \\]
\n \\[
\n q_{t+1} = q_t + \\eta K_t \\varepsilon_t
\n \\]\n<\/div>\n

\u3068\u306a\u308b\u304c\u3001\u3053\u308c\u306f\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u3067\u306f\u300c\u89b3\u6e2c\u8aa4\u5dee\u306b\u3088\u3063\u3066\u99c6\u52d5\u3055\u308c\u308b\u5c40\u6240\u632f\u52d5\u300d\u306e\u5f62\u306b\u306a\u3063\u3066\u3044\u308b\u3002\u3053\u3053\u3067 \\(K_t\\) \u306f\u8aa4\u5dee\u306e\u7cbe\u5ea6\u91cd\u307f\u4ed8\u3051\u3067\u3042\u308a\u3001\u632f\u52d5\u306e\u5897\u5e45\u7387\u307e\u305f\u306f\u6e1b\u8870\u7387\u306b\u76f8\u5f53\u3059\u308b\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u901a\u5e38\u72b6\u614b\u3068\u75c5\u7406\u72b6\u614b\u306e\u5dee\u306f\u3001\u5225\u306e\u6cd5\u5247\u3067\u306f\u306a\u304f\u3001\u632f\u52d5\u306e\u5229\u5f97\u69cb\u9020\u306e\u5dee\u3068\u3057\u3066\u6271\u3048\u308b\u3002<\/p>\n

\u884c\u52d5\u306e\u5074\u3082\u540c\u69d8\u3067\u3042\u308b\u3002\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u3067\u306f\u3001\u4ecb\u5165 \\(U_t\\) \u306f\u69cb\u9020\u305d\u306e\u3082\u306e\u3092\u5909\u3048\u308b\u64cd\u4f5c\u3067\u3042\u308a\u3001active inference \u3067\u306f\u305d\u308c\u304c\u653f\u7b56 \\(\\pi\\) \u306e\u9078\u629e\u3068\u3057\u3066\u66f8\u304b\u308c\u308b\u3002\u4e00\u822c\u5f62\u3067\u306f\u3001<\/p>\n

\n \\[
\n U_t^* = \\arg\\min_{U} \\mathcal{K}(U; S_t, C_t)
\n \\]\n<\/div>\n

\u3068\u3044\u3046\u4ecb\u5165\u9078\u629e\u554f\u984c\u306b\u306a\u308b\u3002active inference \u3067\u306f\u3001\u3053\u306e \\(\\mathcal{K}\\) \u304c\u671f\u5f85\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc \\(G_t(\\pi)\\) \u306b\u5bfe\u5fdc\u3059\u308b\u3002<\/p>\n

\n \\[
\n G_t(\\pi) =
\n \\mathbb{E}_{q(o_{t:T},x_{t:T}\\mid \\pi)}
\n \\bigl[
\n \\ln q(x_{t:T}\\mid \\pi) – \\ln p(o_{t:T},x_{t:T}\\mid \\pi)
\n \\bigr]
\n \\]
\n \\[
\n \\pi_t^* = \\arg\\min_{\\pi} G_t(\\pi)
\n \\]\n<\/div>\n

\u3057\u305f\u304c\u3063\u3066\u3001\u653f\u7b56\u9078\u629e\u3082\u307e\u305f\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u4e2d\u3067\u306f\u300c\u5c06\u6765\u306e\u632f\u52d5\u8ecc\u9053\u3092\u62d8\u675f\u3059\u308b\u4ecb\u5165\u306e\u6700\u9069\u5316\u300d\u3068\u3057\u3066\u8aad\u3081\u308b\u3002\u3068\u304f\u306b\u3001<\/p>\n

\n \\[
\n G_t(\\pi) = G_t^{\\mathrm{pragmatic}}(\\pi) + G_t^{\\mathrm{epistemic}}(\\pi)
\n \\]
\n \\[
\n G_t(\\pi) \\approx -V_{\\mathrm{extrinsic}}(\\pi) – V_{\\mathrm{epistemic}}(\\pi)
\n \\]\n<\/div>\n

\u3068\u3044\u3046\u5206\u89e3\u306f\u3001\u632f\u52d5\u69cb\u9020\u306e\u3046\u3061\u3001\u7b2c\u4e00\u9805\u304c\u300c\u3069\u306e\u30a2\u30c8\u30e9\u30af\u30bf\u3078\u5411\u304b\u3046\u304b\u300d\u3001\u7b2c\u4e8c\u9805\u304c\u300c\u3069\u308c\u3060\u3051\u4e0d\u78ba\u5b9f\u6027\u3092\u89e3\u6d88\u3059\u308b\u304b\u300d\u3092\u8868\u3057\u3066\u3044\u308b\u3002\u524d\u8005\u306f\u5230\u9054\u76ee\u6a19\u3001\u5f8c\u8005\u306f\u69cb\u9020\u540c\u5b9a\u3067\u3042\u308b\u3002\u3053\u308c\u306b\u3088\u308a\u63a2\u7d22\u3068\u5229\u7528\u306f\u3001\u632f\u52d5\u69cb\u9020\u306e\u4e8c\u3064\u306e\u8abf\u6574\u69d8\u5f0f\u3068\u3057\u3066\u7d71\u4e00\u3055\u308c\u308b\u3002<\/p>\n

\u3053\u306e\u7d71\u5408\u3092\u3055\u3089\u306b\u660e\u793a\u3059\u308b\u305f\u3081\u306b\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u5168\u4f53\u66f4\u65b0\u3092\u3001\u72b6\u614b\u66f4\u65b0\u9805\u3001\u89b3\u6e2c\u99c6\u52d5\u9805\u3001\u4ecb\u5165\u9805\u3001\u62d8\u675f\u9805\u306e\u548c\u3068\u3057\u3066\u5206\u89e3\u3057\u3066\u66f8\u3051\u308b\u3002<\/p>\n

\n \\[
\n S_{t+1} = S_t + \\Phi_{\\mathrm{dyn}}(S_t, C_t) + \\Phi_{\\mathrm{obs}}(O_t, S_t) + \\Phi_{\\mathrm{ctl}}(U_t, S_t) – \\Phi_{\\mathrm{cons}}(S_t)
\n \\]\n<\/div>\n

\u3053\u3053\u3067 \\(\\Phi_{\\mathrm{dyn}}\\) \u306f\u7cfb\u305d\u306e\u3082\u306e\u306e\u81ea\u7136\u767a\u5c55\u3001\\(\\Phi_{\\mathrm{obs}}\\) \u306f\u89b3\u6e2c\u8aa4\u5dee\u306b\u3088\u308b\u66f4\u65b0\u3001\\(\\Phi_{\\mathrm{ctl}}\\) \u306f\u4ecb\u5165\u306b\u3088\u308b\u5236\u5fa1\u3001\\(\\Phi_{\\mathrm{cons}}\\) \u306f\u5b89\u5b9a\u5316\u3084\u6b63\u5247\u5316\u3092\u8868\u3059\u3002FEP \u7cfb\u3067\u306f\u3001\\(\\Phi_{\\mathrm{obs}}\\) \u3068 \\(\\Phi_{\\mathrm{cons}}\\) \u304c\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u52fe\u914d\u306b\u5438\u53ce\u3055\u308c\u3001\\(\\Phi_{\\mathrm{ctl}}\\) \u304c expected free energy \u6700\u5c0f\u5316\u3068\u3057\u3066\u5b9f\u88c5\u3055\u308c\u308b\u3002<\/p>\n

\u3057\u305f\u304c\u3063\u3066\u3001\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u306f\u300c\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u4e2d\u3067\u3001\u62d8\u675f\u9805\u3092\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u3068\u3057\u3066\u9078\u3073\u3001\u4ecb\u5165\u9805\u3092\u671f\u5f85\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u3068\u3057\u3066\u9078\u3093\u3060\u5834\u5408\u306e\u7279\u6b8a\u5f62\u300d\u3067\u3042\u308b\u3002\u8a00\u3044\u63db\u3048\u308c\u3070\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u304c\u4e0a\u4f4d\u3001FEP \/ active inference \u306f\u305d\u306e\u4e00\u5b9f\u88c5\u3067\u3042\u308b\u3002<\/p>\n

\u3053\u306e\u5305\u542b\u95a2\u4fc2\u306f\u6570\u7406\u7684\u69cb\u9020\u306b\u95a2\u3059\u308b\u3082\u306e\u3067\u3042\u308a\u3001FEP \u306e\u81ea\u7136\u6cd5\u5247\u3068\u3057\u3066\u306e\u6210\u7acb\u3092\u610f\u5473\u3059\u308b\u3082\u306e\u3067\u306f\u306a\u3044\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb<\/th>\nFEP \/ Active Inference<\/th>\n\u6570\u5f0f\u8868\u73fe<\/th>\n\u529b\u5b66\u7684\u610f\u5473<\/th>\n<\/tr>\n<\/thead>\n
\u72b6\u614b \\(S_t\\)<\/td>\n\\(x_t, q_t\\)<\/td>\n\\(S_t = (x_t, q_t)\\)<\/td>\n\u5916\u754c\u3068\u5185\u90e8\u4fe1\u5ff5\u306e\u7d50\u5408\u72b6\u614b<\/td>\n<\/tr>\n
\u74b0\u5883 \\(C_t\\)<\/td>\n\u9077\u79fb\u30e2\u30c7\u30eb<\/td>\n\\(p(x_{t+1}\\mid x_t,a_t)\\)<\/td>\n\u5916\u90e8\u5236\u7d04\u30fb\u30c0\u30a4\u30ca\u30df\u30af\u30b9<\/td>\n<\/tr>\n
\u89b3\u6e2c \\(O_t\\)<\/td>\n\u611f\u899a\u5165\u529b<\/td>\n\\(o_t \\sim p(o_t \\mid x_t)\\)<\/td>\n\u90e8\u5206\u89b3\u6e2c\u306b\u3088\u308b\u99c6\u52d5<\/td>\n<\/tr>\n
\u4ecb\u5165 \\(U_t\\)<\/td>\n\u884c\u52d5<\/td>\n\\(a_t\\)<\/td>\n\u72b6\u614b\u9077\u79fb\u3078\u306e\u80fd\u52d5\u7684\u5f71\u97ff<\/td>\n<\/tr>\n
\u66f4\u65b0\u5199\u50cf \\(M\\)<\/td>\nFEP \/ EFE<\/td>\n\\(S_{t+1} = \\arg\\min \\mathcal{J}\\)<\/td>\n\u632f\u52d5\u306e\u62d8\u675f\uff08\u5b89\u5b9a\u5316\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u3053\u306e\u89b3\u70b9\u304b\u3089\u75c5\u7406\u3092\u898b\u308c\u3070\u3001\u7d71\u5408\u5931\u8abf\u75c7\u306a\u3069\u306e\u7570\u5e38\u306f\u3001\u5225\u306e\u4e16\u754c\u306b\u5c5e\u3059\u308b\u7279\u6b8a\u4e8b\u8c61\u3067\u306f\u306a\u304f\u3001\u632f\u52d5\u306e\u5229\u5f97\u3001\u7d50\u5408\u3001\u6e1b\u8870\u306e\u7570\u5e38\u3068\u3057\u3066\u8868\u73fe\u3067\u304d\u308b\u3002\u305f\u3068\u3048\u3070\u3001<\/p>\n

\n \\[
\n K_t \\rightarrow K_t’
\n \\]
\n \\[
\n p(x_{t+1}\\mid x_t, a_t; \\Theta) \\rightarrow p(x_{t+1}\\mid x_t, a_t; \\Theta’)
\n \\]\n<\/div>\n

\u3068\u3044\u3046\u5909\u5316\u306f\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u3067\u306f\u305d\u308c\u305e\u308c\u300c\u89b3\u6e2c\u8aa4\u5dee\u306e\u5897\u5e45\u7387\u306e\u5909\u5316\u300d\u3068\u300c\u7d50\u5408\u69cb\u9020\u306e\u5909\u5316\u300d\u306b\u5bfe\u5fdc\u3059\u308b\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u75c5\u7406\u306f\u66f4\u65b0\u5247\u306e\u5916\u90e8\u3067\u306f\u306a\u304f\u3001\u540c\u4e00\u66f4\u65b0\u5247\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u9818\u57df\u3068\u3057\u3066\u7406\u89e3\u3055\u308c\u308b\u3002<\/p>\n

\u3055\u3089\u306b\u3001\u610f\u8b58\u3001\u81ea\u5df1\u3001\u793e\u4f1a\u6027\u306f\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306b\u304a\u3044\u3066\u306f\u4e88\u7d04\u5909\u6570\u3068\u3057\u3066\u6b21\u306e\u3088\u3046\u306b\u4f4d\u7f6e\u3065\u3051\u3089\u308c\u308b\u3002<\/p>\n

\n \\[
\n C_t = \\Psi(S_t, \\text{integration over scales})
\n \\]
\n \\[
\n \\Sigma_t = \\Xi(S_{1:t})
\n \\]
\n \\[
\n \\Gamma_t = \\Omega(\\Sigma_t, \\text{coupling with other agents})
\n \\]\n<\/div>\n

\u3053\u3053\u3067 \\(C_t\\) \u306f\u591a\u5c64\u632f\u52d5\u306e\u7d71\u5408\u69d8\u5f0f\u3001\\(\\Sigma_t\\) \u306f\u6301\u7d9a\u7684\u306a\u81ea\u5df1\u69cb\u9020\u3001\\(\\Gamma_t\\) \u306f\u4e3b\u4f53\u9593\u7d50\u5408\u3068\u3057\u3066\u306e\u793e\u4f1a\u7684\u69cb\u9020\u3092\u8868\u3059\u4e88\u7d04\u5909\u6570\u3067\u3042\u308b\u3002\u73fe\u6642\u70b9\u3067\u306f\u3001\u3053\u308c\u3089\u3092\u4e3b\u65b9\u7a0b\u5f0f\u306e\u65e2\u77e5\u91cf\u3068\u3057\u3066\u78ba\u5b9a\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u306a\u3044\u304c\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u4e0a\u3067\u306f\u81ea\u7136\u306a\u62e1\u5f35\u5148\u3068\u3057\u3066\u4f4d\u7f6e\u3065\u3051\u3089\u308c\u308b\u3002<\/p>\n

\n

6. \u4eca\u5f8c\u306e\u5c55\u958b \u2015\u2015 \u632f\u52d5\u69cb\u9020\u3068\u3057\u3066\u306e\u62e1\u5f35<\/h2>\n

\u3053\u306e\u7d71\u5408\u304b\u3089\u898b\u3048\u3066\u304f\u308b\u4eca\u5f8c\u306e\u8ab2\u984c\u306f\u660e\u78ba\u3067\u3042\u308b\u3002\u7b2c\u4e00\u306b\u5fc5\u8981\u306a\u306e\u306f\u3001\u968e\u5c64\u632f\u52d5\u306e\u660e\u793a\u3067\u3042\u308b\u3002\u3059\u306a\u308f\u3061\u3001\u4f4e\u6b21\u611f\u899a\u5c64\u3001\u9ad8\u6b21\u6587\u8108\u5c64\u3001\u81ea\u5df1\u5c64\u3001\u793e\u4f1a\u5c64\u306b\u304a\u3044\u3066\u3001\u3069\u306e\u5909\u6570\u304c\u3069\u306e\u6642\u9593\u30b9\u30b1\u30fc\u30eb\u3067\u632f\u52d5\u3057\u3001\u3069\u306e\u5c64\u9593\u7d50\u5408\u304c\u5b89\u5b9a\u5316\u307e\u305f\u306f\u4e0d\u5b89\u5b9a\u5316\u3092\u3082\u305f\u3089\u3059\u306e\u304b\u3092\u5b9a\u7fa9\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002<\/p>\n

\u7b2c\u4e8c\u306b\u5fc5\u8981\u306a\u306e\u306f\u3001\u632f\u52d5\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u306e\u89b3\u6e2c\u53ef\u80fd\u91cf\u3078\u306e\u5bfe\u5fdc\u3065\u3051\u3067\u3042\u308b\u3002\u7cbe\u5ea6\u91cd\u307f\u4ed8\u3051 \\(K_t\\)\u3001\u7d50\u5408\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc \\(\\Theta\\)\u3001\u632f\u52d5\u306e\u632f\u5e45\u3001\u4f4d\u76f8\u305a\u308c\u3001\u540c\u671f\u6027\u3001\u6e1b\u8870\u7387\u306a\u3069\u3092\u3001\u884c\u52d5\u8ab2\u984c\u3001\u795e\u7d4c\u753b\u50cf\u3001\u96fb\u6c17\u751f\u7406\u3001\u30e2\u30c7\u30eb\u53cd\u8ee2\u306b\u3088\u3063\u3066\u63a8\u5b9a\u53ef\u80fd\u306a\u91cf\u3078\u843d\u3068\u3057\u8fbc\u3080\u5fc5\u8981\u304c\u3042\u308b\u3002\u3053\u3053\u304c\u9032\u307e\u306a\u3044\u9650\u308a\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306f\u8aac\u660e\u56f3\u5f0f\u306b\u7559\u307e\u308b\u3002<\/p>\n

\u7b2c\u4e09\u306b\u5fc5\u8981\u306a\u306e\u306f\u3001\u4e88\u7d04\u5909\u6570\u306e\u64cd\u4f5c\u7684\u5b9a\u7fa9\u3067\u3042\u308b\u3002\u610f\u8b58 \\(C_t\\) \u306f\u7d71\u5408\u5ea6\u3068\u6301\u7d9a\u6027\u3001\u81ea\u5df1 \\(\\Sigma_t\\) \u306f\u518d\u5e30\u7684\u81ea\u5df1\u53c2\u7167\u306e\u5b89\u5b9a\u6027\u3001\u793e\u4f1a\u7684\u63a8\u8ad6 \\(\\Gamma_t\\) \u306f\u4e3b\u4f53\u9593\u4e88\u6e2c\u8aa4\u5dee\u306e\u7d50\u5408\u3068\u3057\u3066\u5b9a\u7fa9\u3057\u76f4\u3059\u5fc5\u8981\u304c\u3042\u308b[14]<\/a>[15]<\/a>[16]<\/a>\u3002<\/p>\n

\u7b2c\u56db\u306b\u5fc5\u8981\u306a\u306e\u306f\u3001FEP \u306e\u4f4d\u7f6e\u3065\u3051\u306e\u518d\u8a55\u4fa1\u3067\u3042\u308b\u3002\u4eca\u5f8c\u554f\u3046\u3079\u304d\u306a\u306e\u306f\u3001\u300cFEP \u304c\u771f\u304b\u507d\u304b\u300d\u3060\u3051\u3067\u306f\u306a\u3044\u3002\u3080\u3057\u308d\u3001\u300c\u69cb\u9020\u632f\u52d5\u306e\u4e00\u822c\u7406\u8ad6\u306e\u4e2d\u3067\u3001FEP \u306f\u3069\u306e\u6761\u4ef6\u3067\u6709\u52b9\u306a\u7279\u6b8a\u5f62\u306b\u306a\u308b\u306e\u304b\u300d\u3092\u660e\u793a\u3059\u308b\u3053\u3068\u3067\u3042\u308b\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u306e\u6709\u52b9\u7bc4\u56f2\u3068\u9650\u754c\u3068\u3092\u3001\u3088\u308a\u660e\u78ba\u306b\u5207\u308a\u5206\u3051\u3089\u308c\u308b\u3002<\/p>\n

\u3057\u305f\u304c\u3063\u3066\u3001\u4eca\u5f8c\u306e\u5c55\u958b\u306f\u3001FEP \u3092\u552f\u4e00\u539f\u7406\u3068\u3057\u3066\u5b8c\u6210\u3055\u305b\u308b\u65b9\u5411\u3067\u306f\u306a\u304f\u3001\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u4e2d\u3067\u306e\u4f4d\u7f6e\u3092\u56fa\u5b9a\u3057\u3001\u305d\u306e\u4e0a\u3067\u75c5\u7406\u3001\u610f\u8b58\u3001\u81ea\u5df1\u3001\u793e\u4f1a\u6027\u3078\u6bb5\u968e\u7684\u306b\u62e1\u5f35\u3059\u308b\u65b9\u5411\u3067\u9032\u3081\u308b\u3079\u304d\u3067\u3042\u308b\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
\u65b9\u5411<\/th>\n\u5bfe\u8c61<\/th>\n\u6570\u7406\u7684\u8ab2\u984c<\/th>\n\u89b3\u6e2c\u30fb\u5b9f\u88c5\u3078\u306e\u843d\u3068\u3057\u8fbc\u307f<\/th>\n\u73fe\u5728\u306e\u72b6\u614b<\/th>\n<\/tr>\n<\/thead>\n
\u968e\u5c64\u632f\u52d5\u306e\u660e\u793a<\/td>\n\u591a\u5c64\u72b6\u614b \\(S^{(i)}_t\\)<\/td>\n\u5c64\u9593\u7d50\u5408 \\(p(x^{(i)} \\mid x^{(i+1)})\\) \u306e\u5b9a\u5f0f\u5316<\/td>\n\u8133\u753b\u50cf\uff08\u968e\u5c64\u7d50\u5408\uff09\u3001\u8a08\u7b97\u30e2\u30c7\u30eb\uff08\u591a\u5c64\u751f\u6210\u30e2\u30c7\u30eb\uff09<\/td>\n\u90e8\u5206\u7684\u306b\u78ba\u7acb\uff08DCM\u30fb\u968e\u5c64\u30d9\u30a4\u30ba\uff09<\/td>\n<\/tr>\n
\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u306e\u89b3\u6e2c\u53ef\u80fd\u5316<\/td>\n\\(K_t, \\Theta\\)<\/td>\n\u7cbe\u5ea6\u30fb\u7d50\u5408\u3092\u63a8\u5b9a\u53ef\u80fd\u91cf\u3078\u5199\u50cf<\/td>\n\u884c\u52d5\u8ab2\u984c\u3001fMRI\u3001EEG\u3001\u30e2\u30c7\u30eb\u53cd\u8ee2<\/td>\n\u6709\u529b\u4eee\u8aac\uff08\u8a08\u7b97\u7cbe\u795e\u533b\u5b66\u3067\u9032\u5c55\uff09<\/td>\n<\/tr>\n
\u4e88\u7d04\u5909\u6570\u306e\u5b9a\u7fa9<\/td>\n\\(C_t, \\Sigma_t, \\Gamma_t\\)<\/td>\n\u95a2\u6570 \\(\\Psi, \\Xi, \\Omega\\) \u306e\u5177\u4f53\u5316<\/td>\n\u7d71\u5408\u5ea6\u6307\u6a19\u3001\u81ea\u5df1\u53c2\u7167\u8ab2\u984c\u3001\u793e\u4f1a\u7684\u63a8\u8ad6\u8ab2\u984c<\/td>\n\u672a\u89e3\u6c7a\u554f\u984c<\/td>\n<\/tr>\n
FEP \u306e\u4f4d\u7f6e\u3065\u3051\u518d\u8a55\u4fa1<\/td>\n\\(\\mathcal{J}\\) \u306e\u9078\u629e<\/td>\n\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u4ee5\u5916\u306e\u62d8\u675f\u95a2\u6570\u306e\u53ef\u80fd\u6027<\/td>\n\u4ed6\u7406\u8ad6\uff08RL\u30fb\u751f\u6210\u30e2\u30c7\u30eb\uff09\u3068\u306e\u6bd4\u8f03\u5b9f\u9a13<\/td>\n\u672a\u89e3\u6c7a\u554f\u984c<\/td>\n<\/tr>\n
\u7d71\u5408\u7406\u8ad6\u306e\u69cb\u7bc9<\/td>\n\u5168\u4f53\u30e2\u30c7\u30eb<\/td>\n\\(S_{t+1} = M(\\cdot)\\) \u306e\u4e00\u822c\u5f62\u306e\u78ba\u5b9a<\/td>\n\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3001\u7406\u8ad6\u6bd4\u8f03\u3001\u6570\u5024\u691c\u8a3c<\/td>\n\u672a\u89e3\u6c7a\u554f\u984c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

7. \u7d50\u8ad6<\/h2>\n

2026 \u5e74\u6642\u70b9\u3067\u6700\u3082\u59a5\u5f53\u306a\u6574\u7406\u306f\u6b21\u306e\u3088\u3046\u306b\u306a\u308b\u3002\u795e\u7d4c\u753b\u50cf\u89e3\u6790\u306e\u65b9\u6cd5\u8ad6\u306f\u78ba\u7acb\u3057\u305f\u77e5\u898b\u3067\u3042\u308a\u3001\u72b6\u614b\u7a7a\u9593\u30e2\u30c7\u30eb\u306f\u5b89\u5168\u306a\u57fa\u5e95\u3067\u3042\u308b\u3002\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u3068 active inference \u306f\u3001\u77e5\u899a\u3068\u884c\u52d5\u3092\u7d71\u4e00\u7684\u306b\u8a18\u8ff0\u3059\u308b\u6709\u529b\u306a\u7406\u8ad6\u3067\u3042\u308b\u304c\u3001\u552f\u4e00\u306e\u57fa\u790e\u539f\u7406\u3068\u3057\u3066\u78ba\u5b9a\u3057\u305f\u308f\u3051\u3067\u306f\u306a\u3044\u3002\u6570\u5f0f\u30ec\u30d9\u30eb\u3067\u898b\u308b\u3068\u3001\u3053\u308c\u3089\u306f\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306b\u304a\u3044\u3066\u3001\u66f4\u65b0\u62d8\u675f\u3092\u5909\u5206\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u3001\u4ecb\u5165\u9078\u629e\u3092\u671f\u5f85\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u3068\u3057\u3066\u9078\u3093\u3060\u7279\u6b8a\u5f62\u3068\u3057\u3066\u7406\u89e3\u3067\u304d\u308b\u3002\u610f\u8b58\u3001\u81ea\u5df1\u3001\u793e\u4f1a\u6027\u306f\u3001\u305d\u306e\u632f\u52d5\u69cb\u9020\u306e\u4e0a\u4f4d\u5c64\u306b\u5c5e\u3059\u308b\u672a\u89e3\u6c7a\u554f\u984c\u3067\u3042\u308a\u3001\u73fe\u6642\u70b9\u3067\u306f\u4e88\u7d04\u5909\u6570\u3068\u3057\u3066\u6271\u3046\u306e\u304c\u59a5\u5f53\u3067\u3042\u308b\u3002<\/p>\n

\u4ee5\u4e0a\u3092\u8e0f\u307e\u3048\u308b\u3068\u3001\u672c\u7a3f\u306e\u7acb\u5834\u306f\u6b21\u306e\u4e00\u70b9\u306b\u96c6\u7d04\u3055\u308c\u308b\u3002\u3059\u306a\u308f\u3061\u3001FEP \u306f\u6709\u529b\u306a\u7d71\u4e00\u8a18\u8ff0\u3067\u3042\u308b\u304c\u3001\u305d\u308c\u81ea\u4f53\u3092\u552f\u4e00\u539f\u7406\u3068\u307f\u306a\u3059\u306e\u3067\u306f\u306a\u304f\u3001\u3088\u308a\u4e00\u822c\u7684\u306a\u69cb\u9020\u632f\u52d5\u30e2\u30c7\u30eb\u306e\u7279\u6b8a\u5f62\u3068\u3057\u3066\u4f4d\u7f6e\u3065\u3051\u308b\u3053\u3068\u304c\u3001\u73fe\u6642\u70b9\u3067\u6700\u3082\u59a5\u5f53\u306a\u7406\u89e3\u3067\u3042\u308b\u3002<\/p>\n

\n

\u53c2\u8003\u6587\u732e<\/h2>\n
    \n
  1. Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J.-P., Frith, C. D., and Frackowiak, R. S. J. Statistical parametric maps in functional imaging: A general linear approach. https:\/\/www.fil.ion.ucl.ac.uk\/~karl\/Statistical%20parametric%20maps%20in%20functional%20imaging.pdf<\/a><\/li>\n
  2. Ashburner, J., and Friston, K. J. Voxel-based morphometry\u2014The methods. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811900905822<\/a><\/li>\n
  3. Friston, K. J., Harrison, L., and Penny, W. Dynamic causal modelling. https:\/\/pubmed.ncbi.nlm.nih.gov\/12948688\/<\/a><\/li>\n
  4. Friston, K. The free-energy principle: A unified brain theory? https:\/\/pubmed.ncbi.nlm.nih.gov\/20068583\/<\/a><\/li>\n
  5. Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., O’Doherty, J., and Pezzulo, G. Active inference and learning. https:\/\/pubmed.ncbi.nlm.nih.gov\/27375276\/<\/a><\/li>\n
  6. Friston, K., Rigoli, F., Ognibene, D., Mathys, C., FitzGerald, T., and Pezzulo, G. Active inference and epistemic value. https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/17588928.2015.1020053<\/a><\/li>\n
  7. Millidge, B., Tschantz, A., and Buckley, C. L. Whence the expected free energy? https:\/\/direct.mit.edu\/neco\/article\/33\/2\/447\/95645\/Whence-the-Expected-Free-Energy<\/a><\/li>\n
  8. Zeidman, P., Caballero-Gaudes, C., and Friston, K. et al. SPM\u201430 years and beyond. https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC12421888\/<\/a><\/li>\n
  9. Bruineberg, J., Kiverstein, J., and Rietveld, E. The anticipating brain is not a scientist: The free-energy principle from an ecological-enactive perspective. https:\/\/pubmed.ncbi.nlm.nih.gov\/30996493\/<\/a><\/li>\n
  10. Mazzaglia, P., Pezzulo, G., and D’Ausilio, A. The free energy principle for perception and action: A deep learning framework for active inference. https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC8871280\/<\/a><\/li>\n
  11. Constant, A., Clark, A., Friston, K., and Ramstead, M. J. D. Extended active inference: Constructing predictive cognition beyond skulls. https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC9292365\/<\/a><\/li>\n
  12. Friston, K. J., Brown, H. R., Siemerkus, J., and Stephan, K. E. The dysconnection hypothesis (2016). https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC5147460\/<\/a><\/li>\n
  13. Stephan, K. E., Friston, K. J., and Frith, C. D. Dysconnection in schizophrenia: From abnormal synaptic plasticity to failures of self-monitoring. https:\/\/pubmed.ncbi.nlm.nih.gov\/19162277\/<\/a><\/li>\n
  14. Friston, K., Heins, C., Verbelen, T., Da Costa, L., Salvatori, T., Markovic, D., Tschantz, A., Koudahl, M., Buckley, C., and Parr, T. From pixels to planning: Scale-free active inference. https:\/\/www.frontiersin.org\/journals\/network-physiology\/articles\/10.3389\/fnetp.2025.1521963\/full<\/a><\/li>\n
  15. Laukkonen, R. E., Friston, K., and Chandaria, S. A beautiful loop: An active inference theory of consciousness. https:\/\/pubmed.ncbi.nlm.nih.gov\/40750007\/<\/a><\/li>\n
  16. Robinson, J. E., Corcoran, A. W., Whyte, C. J., Sarkozy, A., Seth, A., Kov\u00e1cs, G., Friston, K. J., Pennartz, C. M. A., Tononi, G., Hohwy, J., and INTREPID Consortium. The role of active inference in conscious awareness. https:\/\/pubmed.ncbi.nlm.nih.gov\/41343515\/<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    1. \u5c04\u7a0b\u3068\u524d\u63d0 \u30d5\u30ea\u30b9\u30c8\u30f3\u7814\u7a76\u306f\u3001\u8133\u753b\u50cf\u89e3\u6790\u3001\u751f\u6210\u30e2\u30c7\u30eb\u3001\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u3001\u80fd\u52d5\u7684\u63a8\u8ad6\u3001\u8a08\u7b97\u7cbe\u795e\u533b\u5b66\u3001\u610f\u8b58\u7814\u7a76\u3078\u3068\u5e83\u304c\u3063\u3066\u3044\u308b\u3002\u3057\u304b\u3057\u3001\u3053\u308c\u3089\u306f\u540c\u3058\u5f37\u5ea6\u306e\u79d1\u5b66\u7684\u78ba\u5b9f\u6027\u3092\u6301\u3063\u3066\u3044\u306a\u3044\u3002SPM \u3084 DCM \u306e\u3088\u3046\u306b\u65b9\u6cd5\u8ad6 … \u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26,23,24],"tags":[],"class_list":["post-4446","post","type-post","status-publish","format-standard","hentry","category-math","category-philosophy","category-science"],"_links":{"self":[{"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/posts\/4446","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/comments?post=4446"}],"version-history":[{"count":5,"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/posts\/4446\/revisions"}],"predecessor-version":[{"id":4543,"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/posts\/4446\/revisions\/4543"}],"wp:attachment":[{"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/media?parent=4446"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/categories?post=4446"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.id774.net\/entry\/wp-json\/wp\/v2\/tags?post=4446"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}