<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="ja">
	<id>http://wiki.socialakiba.com/index.php?action=history&amp;feed=atom&amp;title=AI_Misc</id>
	<title>AI Misc - 版の履歴</title>
	<link rel="self" type="application/atom+xml" href="http://wiki.socialakiba.com/index.php?action=history&amp;feed=atom&amp;title=AI_Misc"/>
	<link rel="alternate" type="text/html" href="http://wiki.socialakiba.com/index.php?title=AI_Misc&amp;action=history"/>
	<updated>2026-05-09T18:34:26Z</updated>
	<subtitle>このウィキのこのページに関する変更履歴</subtitle>
	<generator>MediaWiki 1.39.3</generator>
	<entry>
		<id>http://wiki.socialakiba.com/index.php?title=AI_Misc&amp;diff=632&amp;oldid=prev</id>
		<title>Kelvint: ページの作成:「*[https://news.ycombinator.com/item?id=40115482 Survey Study on AI Agent Architectures (2024)] *[https://arxiv.org/abs/2404.02039 A Survey on Large Language Model-Based Game Agents] *[https://deepmind.google/discover/blog/sima-generalist-ai-agent-for-3d-virtual-environments/ A generalist AI agent for 3D virtual environments] *[https://arxiv.org/abs/2403.10249 A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges] *[https://github.co…」</title>
		<link rel="alternate" type="text/html" href="http://wiki.socialakiba.com/index.php?title=AI_Misc&amp;diff=632&amp;oldid=prev"/>
		<updated>2026-01-22T04:08:17Z</updated>

		<summary type="html">&lt;p&gt;ページの作成:「*[https://news.ycombinator.com/item?id=40115482 Survey Study on AI Agent Architectures (2024)] *[https://arxiv.org/abs/2404.02039 A Survey on Large Language Model-Based Game Agents] *[https://deepmind.google/discover/blog/sima-generalist-ai-agent-for-3d-virtual-environments/ A generalist AI agent for 3D virtual environments] *[https://arxiv.org/abs/2403.10249 A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges] *[https://github.co…」&lt;/p&gt;
&lt;p&gt;&lt;b&gt;新規ページ&lt;/b&gt;&lt;/p&gt;&lt;div&gt;*[https://news.ycombinator.com/item?id=40115482 Survey Study on AI Agent Architectures (2024)]&lt;br /&gt;
*[https://arxiv.org/abs/2404.02039 A Survey on Large Language Model-Based Game Agents]&lt;br /&gt;
*[https://deepmind.google/discover/blog/sima-generalist-ai-agent-for-3d-virtual-environments/ A generalist AI agent for 3D virtual environments]&lt;br /&gt;
*[https://arxiv.org/abs/2403.10249 A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges]&lt;br /&gt;
*[https://github.com/joonspk-research/generative_agents joonspk-research / generative_agents]&lt;br /&gt;
&lt;br /&gt;
[[Behavior Tree]]&lt;br /&gt;
&lt;br /&gt;
* [https://dl.acm.org/doi/pdf/10.1145/3586183.3606763 Generative Agents: Interactive Simulacra of Human Behavior]&lt;br /&gt;
* [https://github.com/AIRLab-POLIMI/BTGenBot BTGenBot]&lt;br /&gt;
* [https://www.docomo.ne.jp/english/info/media_center/pr/2024/0116_01.html DOCOMO Develops World&amp;#039;s First Technology Utilizing Generative AI to Automatically Generate Non-Player Characters in Metaverse]&lt;br /&gt;
* [https://grail.com.pl/ Grail]&lt;br /&gt;
* [http://reports-archive.adm.cs.cmu.edu/anon/2017/abstracts/17-130.html Learning Player Behavior Models to Enable Cooperative Planning for Non-Player Character Stephen Chen]&lt;br /&gt;
* [https://repository.upenn.edu/entities/publication/4abf0e03-ed36-45de-9f40-5f7b2b673c24 Planning For Non-Player Characters By Learning From Demonstration Drake, John]&lt;br /&gt;
&lt;br /&gt;
== ue5 ==&lt;br /&gt;
&lt;br /&gt;
* [https://historia.co.jp/archives/29055/ ビヘイビアツリー(Behavior Tree)の使い方　入門編]&lt;br /&gt;
* [https://dev.epicgames.com/community/learning/tutorials/8OWY/unreal-engine-learning-agents-introduction Learning Agents Introduction]&lt;br /&gt;
* [https://dev.epicgames.com/community/learning/tutorials/qj2O/unreal-engine-learning-to-drive Learning to Drive]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/how-to-use-the-machine-learning-deformer-in-unreal-engine?application_version=5.4 機械学習デフォーマの使い方]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/neural-network-engine-overview-in-unreal-engine?application_version=5.4 ニューラル ネットワーク エンジンの概要]&lt;br /&gt;
* [https://dev.epicgames.com/community/learning/courses/e7w/unreal-engine-neural-network-engine-nne/34q9/unreal-engine-nne-quick-start-guide-5-3 Neural Network Engine (NNE)]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/state-tree-in-unreal-engine?application_version=5.4 StateTree]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/ai-debugging-in-unreal-engine?application_version=5.4 AIデバッグ]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/environment-query-system-quick-start-in-unreal-engine?application_version=5.4 Environment Query System クイック スタート ガイド]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/environment-query-system-in-unreal-engine?application_version=5.4 Environment Query System]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/ai-perception-in-unreal-engine?application_version=5.4 AI Perception]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/behavior-trees-in-unreal-engine?application_version=5.4 ビヘイビアツリー]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/overview-of-mass-entity-in-unreal-engine?application_version=5.4 MassEntity の概要]&lt;br /&gt;
* [https://historia.co.jp/archives/34074/ StateTreeで状態管理]&lt;br /&gt;
* [https://historia.co.jp/archives/25062/ プレイヤーを検知する敵キャラクターを作る]&lt;br /&gt;
* [https://historia.co.jp/archives/4996/ EQSで群れを動かす]&lt;br /&gt;
* [https://dev.epicgames.com/documentation/ja-jp/unreal-engine/using-avoidance-with-the-navigation-system-in-unreal-engine?application_version=5.4 ナビゲーション システムで回避を使用する]&lt;/div&gt;</summary>
		<author><name>Kelvint</name></author>
	</entry>
</feed>