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This framework defines the balance point between converging and diverging knowledge in multi-agent systems. It supports adaptive learning and consistent cooperation in distributed cognition. このフレームワークは、多エージェント環境における知識の収束と拡散の均衡点を定義します。分散認知における適応学習と一貫した協調を支援します。

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Knowledge Convergence Framework / 知識収束フレームワーク

This framework defines the balance point between converging and diverging knowledge in multi-agent systems. It supports adaptive learning and consistent cooperation in distributed cognition.

このフレームワークは、多エージェント環境における知識の収束と拡散の均衡点を定義します。分散認知における適応学習と一貫した協調を支援します。

Specialized Applications

This framework is applicable to multi-agent coordination, decentralized learning systems, and shared intelligence modeling.

General Applications

It can be adapted for collaborative tools, knowledge-sharing platforms, and group decision-making support systems.

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This framework defines the balance point between converging and diverging knowledge in multi-agent systems. It supports adaptive learning and consistent cooperation in distributed cognition. このフレームワークは、多エージェント環境における知識の収束と拡散の均衡点を定義します。分散認知における適応学習と一貫した協調を支援します。

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