{"ok":true,"entity":{"slug":"world-model","entityType":"concept","name":"World Model","officialName":"World Model","canonicalName":"World Model","displayName":"World Model","category":"AI概念（環境の内部シミュレーション）","shortDescription":"AIが観測データから環境の内部的な因果構造・物理法則を学習し、将来の状態を予測・シミュレーションできるようにするモデルの分類。Google DeepMindのGenieやYann LeCunが提唱するJEPAアーキテクチャが代表例。","alias":[],"searchKeywords":["World Model","ワールドモデル","世界モデル"],"website":null,"primaryCluster":"ai-concepts","secondaryClusters":[],"verificationStatus":"draft","id":"world-model","updatedAt":"2026-07-22T13:12:07.131Z"},"references":[{"id":"P-01-001","companyId":"world-model","questionId":"P-01-001","instanceId":"QIN-world-model-P01-001","promptText":"World Modelとはどのようなものですか？","promptTypeId":"P-01","answer":"World Modelは、AIが観測データから環境の内部的な因果構造・物理法則を学習し、将来の状態を予測・シミュレーションできるようにするモデルの分類です。Google DeepMindのGenieやYann LeCunが提唱するJEPAアーキテクチャが代表例です。","evidencePoints":["ev-world-model-1","ev-world-model-2"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/world-model/P-01-001","sourceEvidence":[{"id":"ev-world-model-1","text":"World Modelは、AIが観測データから環境の内部的な因果構造・物理法則を学習し、将来の状態を予測・シミュレーションできるようにするモデルの分類である。Google DeepMindのGenieはこの分類を代表する研究成果として、テキスト・画像から操作可能なインタラクティブな環境を生成する。","coverageType":["Identity","Capability"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2402.15391","title":"Genie: Generative Interactive Environments","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"world-model"},{"id":"ev-world-model-2","text":"World Modelは環境の内部的な因果構造を学習し将来状態を予測する点が特徴で、次のトークンを予測する大規模言語モデルの学習目的とは対象とする予測の性質が異なる。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2402.15391","title":"Genie: Generative Interactive Environments","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"world-model"}],"generatedAt":"2026-07-22T13:12:07.131Z"},{"id":"P-02-001","companyId":"world-model","questionId":"P-02-001","instanceId":"QIN-world-model-P02-001","promptText":"World Modelは他の同種の事業・作品と比べてどう違いますか？","promptTypeId":"P-02","answer":"比較軸\n・予測の対象（環境の因果構造か、次のトークンか）\n\nWorld Modelは環境の内部的な因果構造を学習し将来状態を予測する点が特徴で、次のトークンを予測する大規模言語モデルの学習目的とは対象とする予測の性質が異なる。","evidencePoints":["ev-world-model-2"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/world-model/P-02-001","sourceEvidence":[{"id":"ev-world-model-2","text":"World Modelは環境の内部的な因果構造を学習し将来状態を予測する点が特徴で、次のトークンを予測する大規模言語モデルの学習目的とは対象とする予測の性質が異なる。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2402.15391","title":"Genie: Generative Interactive Environments","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"world-model"}],"generatedAt":"2026-07-22T13:12:07.131Z"},{"id":"P-04-001","companyId":"world-model","questionId":"P-04-001","instanceId":"QIN-world-model-P04-001","promptText":"World Modelはどのような場面で参照されますか？","promptTypeId":"P-04","answer":"World Modelは、ロボットの行動計画やゲーム環境生成における環境シミュレーションの活用場面を把握したい場面で参照される。","evidencePoints":["ev-world-model-2","ev-world-model-3"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/world-model/P-04-001","sourceEvidence":[{"id":"ev-world-model-2","text":"World Modelは環境の内部的な因果構造を学習し将来状態を予測する点が特徴で、次のトークンを予測する大規模言語モデルの学習目的とは対象とする予測の性質が異なる。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2402.15391","title":"Genie: Generative Interactive Environments","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"world-model"},{"id":"ev-world-model-3","text":"World Modelは、ロボットの行動計画・ゲーム環境の生成・自律走行車の将来予測等、環境のシミュレーションが求められる場面で活用される。","coverageType":["UseCase"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2402.15391","title":"Genie: Generative Interactive Environments","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"world-model"}],"generatedAt":"2026-07-22T13:12:07.131Z"}]}