<\/p>\n\n\n\n
\u4f0a\u85e4\u8cc7\u6d69\u30fb\u6cb3\u539f\u7d14\u4e00\u90ce (\u5370\u5237\u4e2d). \u9ed2\u8272\u306e\u885b\u751f\u30de\u30b9\u30af\u306e\u7740\u7528\u304c\u5370\u8c61\u3068\u9b45\u529b\u306e\u77e5\u899a\u306b\u53ca\u307c\u3059\u5f71\u97ff. \u5317\u6d77\u9053\u5fc3\u7406\u5b66\u7814\u7a76.<\/p>\n\n\n\n
\u6a4b\u672c\u76f4\u6a39\u30fb\u4e45\u4f4f\u4e00\u90ce (2018). \u7d71\u5408\u5931\u8abf\u75c7\u306e\u518d\u767a\u306b\u95a2\u308f\u308b\u751f\u7269\u5b66\u7684\u57fa\u76e4.\u7cbe\u795e\u79d1\u6cbb\u7642\u5b66. 33 (9), 1037-1042.<\/p>\n\n\n\n
\u4e45\u4f4f\u4e00\u90ce (2018). \u6297\u7cbe\u795e\u75c5\u85ac\u4f7f\u7528\u6642\u306e\u8840\u7cd6\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306e\u983b\u5ea6\u306f\u3069\u3046\u8003\u3048\u308b\u3079\u304d\u304b\uff1f \u7cbe\u795e\u79d1\u6cbb\u7642\u5b66. 33 (5), 549-554.<\/p>\n\n\n\n
\u4e45\u4f4f\u4e00\u90ce (2018). Clozapine\u306e\u6709\u7528\u6027\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8. \u81e8\u5e8a\u7cbe\u795e\u85ac\u7406. 21 (11), 1411-1418.<\/p>\n\n\n\n
\u524d\u7530\u6d0b\u679d\u30fb\u5e83\u702c\u5e78\u96c4\u30fb\u6749\u6d66\u6df3\u5409\u30fb\u5927\u6cbc\u9032 (2019). \u5e02\u6c11\u53c2\u52a0\u306b\u3088\u308b\u719f\u8b70\u7d4c\u9a13\u306e\u52b9\u679c\u3068\u4eca\u5f8c\u306e\u53c2\u52a0\u610f\u56f3\u306e\u898f\u5b9a\u56e0\u3068\u3057\u3066\u306e\u30a8\u30f3\u30d1\u30ef\u30fc\u30e1\u30f3\u30c8\u2015\u30d7\u30e9\u30f3\u30cb\u30f3\u30b0\u30bb\u30eb\u306e\u53c2\u52a0\u7d4c\u9a13\u8005\u3068\u672a\u7d4c\u9a13\u8005\u306e\u6bd4\u8f03\u2015,. \u793e\u4f1a\u5b89\u5168\u5b66\u7814\u7a76, 9, 187-204.<\/p>\n\n\n\n
\u5ca1\u677e\u5f66 (2018). \u7dca\u5f35\u75c5\u75c7\u72b6\u306b\u30db\u30eb\u30e2\u30f3\u88dc\u5145\u7642\u6cd5\u304c\u6709\u52b9\u3067\u3042\u3063\u305f\u7d71\u5408\u5931\u8abf\u75c7\u306e1\u4f8b. \u7cbe\u795e\u533b\u5b66. 60 (6), 681-686.<\/p>\n\n\n\n
\u5927\u6cbc\u9032\u30fb\u5e83\u702c\u5e78\u96c4\u30fb\u6749\u6d66\u6df3\u5409 (2019). \u8cdb\u5426\u4e8c\u5206\u6cd5\u3092\u8d8a\u3048\u305f\u6298\u8877\u6848\u306e\u53d7\u5bb9\u3068\u305d\u306e\u898f\u5b9a\u56e0\u3068\u3057\u3066\u306e\u624b\u7d9a\u304d\u7684\u516c\u6b63\uff1a\u30ce\u30a4\u30b9\u5e02\u306b\u304a\u3051\u308b\u30c8\u30e9\u30e0\u306e\u4e8b\u4f8b\u8abf\u67fb. \u793e\u4f1a\u5b89\u5168\u5b66\u7814\u7a76, 9, 89-101.<\/p>\n\n\n\n
\u5927\u6fa4\u82f1\u662d\u30fb\u5e83\u702c\u5e78\u96c4\u30fb\u5927\u6cbc\u9032\u30fb\u5927\u53cb\u7ae0 (2019). \u9ad8\u30ec\u30d9\u30eb\u653e\u5c04\u6027\u5ec3\u68c4\u7269\u306e\u7ba1\u7406\u65b9\u7b56\u306e\u9078\u629e\u306b\u95a2\u3059\u308b\u610f\u601d\u6c7a\u5b9a\u30d7\u30ed\u30bb\u30b9\u2015\u30b9\u30a4\u30b9\u3068\u82f1\u56fd\u3092\u4f8b\u3068\u3057\u3066\u2015. \u793e\u4f1a\u5b89\u5168\u5b66\u7814\u7a76, 9, 145-160.<\/p>\n\n\n\n
\u5927\u6fa4\u82f1\u662d\u30fb\u5e83\u702c\u5e78\u96c4\u30fb\u5927\u6cbc\u9032\u30fb\u5927\u53cb\u7ae0\u53f8 (2019). \u9ad8\u30ec\u30d9\u30eb\u653e\u5c04\u6027\u5ec3\u68c4\u7269\u5730\u5c64\u51e6\u5206\u65bd\u8a2d\u306e\u30b5\u30a4\u30c8\u9078\u5b9a\u306b\u95a2\u3059\u308b\u610f\u601d\u6c7a\u5b9a\u30d7\u30ed\u30bb\u30b9\u2015\u30b9\u30a4\u30b9\u3068\u82f1\u56fd\u3092\u4f8b\u3068\u3057\u3066\u2015. \u793e\u4f1a\u5b89\u5168\u5b66\u7814\u7a76, 9, 161-176.<\/p>\n\n\n\n
\u5927\u53cb\u7ae0\u53f8\u30fb\u5e83\u702c\u5e78\u96c4\u30fb\u5927\u6cbc\u9032 (2019). \u653e\u5c04\u6027\u5ec3\u68c4\u7269\u306e\u9577\u671f\u7ba1\u7406\u65bd\u8a2d\u306e\u7acb\u5730\u8abf\u67fb\u53d7\u5bb9\u306b\u304a\u3051\u308b\u611f\u60c5\uff0c\u624b\u7d9a\u304d\u7684\u516c\u6b63\uff0c\u4fe1\u983c\u304c\u53ca\u307c\u3059\u5f71\u97ff. \u793e\u4f1a\u5b89\u5168\u5b66\u7814\u7a76, 9, 177-186.<\/p>\n\n\n\n
\u5c3e\u5d0e\u4e00\u90ce (2018). \u4f01\u753b\u8da3\u65e8\uff1a\u73fe\u4ee3\u6cd5\u306b\u304a\u3051\u308b\u300c\u4eba\u9593\u300d\u306e\u76f8\u5bfe\u5316. \u6cd5\u5f8b\u6642\u5831. 90 (12), 4-5.<\/p>\n\n\n\n
\u4f9d\u85e4\u4f73\u4e16\u30fb\u5b89\u85e4\u9999\u7e54\u30fb\u5927\u6cbc\u9032\u30fb\u5e83\u702c\u5e78\u96c4 (2019). \u89aa\u304b\u3089\u5b50\u3078\u306e\u74b0\u5883\u914d\u616e\u306e\u898f\u7bc4\u30fb\u884c\u52d5\u306e\u4f1d\u64ad\u306e\u7e26\u65ad\u7684\u7814\u7a76. \u793e\u4f1a\u5b89\u5168\u5b66\u7814\u7a76, 9, 131-143.<\/p>\n\n\n\n
\u7be0\u7530 \u671d\u4e5f (2018). \u4f01\u696d\u4fa1\u5024\u8a55\u4fa1\u306b\u304a\u3051\u308b\u7d99\u7d9a\u4fa1\u5024\u306e\u7b97\u5b9a\u306b\u95a2\u3059\u308b\u691c\u8a0e : \u5b9f\u52d9\u4e8b\u4f8b\u306e\u8003\u5bdf\u304b\u3089. \u7523\u696d\u7d93\u7406. 78 (1), 140-149.<\/p>\n\n\n\n
\u7be0\u7530 \u671d\u4e5f (2018). \u8cc7\u672c\u4e88\u7b97\u5b9f\u52d9\u306e\u8ab2\u984c\u2015\u7ba1\u7406\u4f1a\u8a08\u306e\u62e1\u5f35\u3068\u8cc7\u672c\u4e88\u7b97\u5b9f\u52d9\u2015 . \u7ba1\u7406\u4f1a\u8a08\u5b66 . 26 ( 2), 63-75.<\/p>\n\n\n\n
\u9808\u5c71\u5de8\u57fa\u30fb\u5c71\u7530\u9806\u5b50\u30fb\u7027\u672c\u5f69\u52a0 (2018). \u96c6\u56e3\u529b\u5b66\u7814\u7a76\u306e\u3053\u308c\u307e\u3067\u3068\u3053\u308c\u304b\u3089\uff1a\u540c\u8abf\u3068\u6587\u5316\u62e1\u6563\u306b\u898b\u308b\u3001\u793e\u4f1a\u5fc3\u7406\u5b66\u3068\u751f\u7269\u5b66\u306e\u878d\u5408 \u5b9f\u9a13\u793e\u4f1a\u5fc3\u7406\u5b66\u7814\u7a76, 58 (2), 161-170.<\/p>\n\n\n\n
Takahashi, T. (2018). Performance in Multi-Armed Bandit Tasks in Relation to Ambiguity-Preference Within a Learning Algorithm. \u6a2a\u5e79. 12 (2), 119-122.<\/p>\n\n\n\n
\u7af9\u6fa4\u6b63\u54f2 (2018). \u5fc3\u7406\u5b66\u306b\u304a\u3051\u308b\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u5fc5\u8981\u6027. \u5fc3\u7406\u5b66\u8a55\u8ad6. 61 (1), 42-54.<\/p>\n\n\n\n
\u7af9\u6fa4\u6b63\u54f2 (2019). \u96c6\u56e3\u9593\u845b\u85e4\u3068\u5229\u4ed6\u6027\u306e\u9032\u5316. \u751f\u7269\u79d1\u5b66. 70 (3), 178-185.<\/p>\n\n\n\n
\u6a2a\u5c71\u5b9f\u7d00\u30fb\u5927\u6cbc\u9032 (2018). \u7570\u306a\u308b\u4e3b\u4f53\u304c\u6bb5\u968e\u7684\u306b\u95a2\u308f\u308b\u6c7a\u5b9a\u30d7\u30ed\u30bb\u30b9\u306b\u95a2\u3059\u308b\u5b9f\u9a13\u7684\u691c\u8a0e\uff1a\u624b\u7d9a\u304d\u7684\u516c\u6b63\u306e\u89b3\u70b9\u304b\u3089. \u793e\u4f1a\u6280\u8853\u7814\u7a76\u8ad6\u6587\u96c6. 15. 1-11.<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f0a\u85e4\u8cc7\u6d69\u30fb\u6cb3\u539f\u7d14\u4e00\u90ce (\u5370\u5237\u4e2d). \u9ed2\u8272\u306e\u885b\u751f\u30de\u30b9\u30af\u306e\u7740\u7528\u304c\u5370\u8c61\u3068\u9b45\u529b\u306e\u77e5\u899a\u306b\u53ca\u307c\u3059\u5f71\u97ff. \u5317\u6d77\u9053\u5fc3\u7406\u5b66\u7814\u7a76. \u6a4b\u672c\u76f4\u6a39\u30fb\u4e45\u4f4f\u4e00\u90ce (2018). \u7d71\u5408\u5931\u8abf\u75c7\u306e\u518d\u767a\u306b\u95a2\u308f\u308b\u751f\u7269\u5b66\u7684\u57fa\u76e4.\u7cbe\u795e\u79d1\u6cbb\u7642\u5b66....","protected":false},"author":2,"featured_media":1493,"parent":85,"menu_order":2023,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1796","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/pages\/1796","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/comments?post=1796"}],"version-history":[{"count":1,"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/pages\/1796\/revisions"}],"predecessor-version":[{"id":1797,"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/pages\/1796\/revisions\/1797"}],"up":[{"embeddable":true,"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/pages\/85"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/media\/1493"}],"wp:attachment":[{"href":"https:\/\/lynx.let.hokudai.ac.jp\/cerss\/wp-json\/wp\/v2\/media?parent=1796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}