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Updated: Sep 10, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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ダイナミック・プランニングによるアクティブ・インファレンスと,低次元の潜伏状態をインファレンスすることによって,連続した空間での情報獲得

Takazumi Matsumoto1, Kentaro Fujii2, Shingo Murata2

  • 1Cognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology, Okinawa 904-0495, Japan.

Entropy (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

EFE-GLeanは,情報検索行動の改善のための認識的価値を統合することによって,アクティブな推論を強化します. このモデルは,隠された情報を活用し,環境の変化に適応することによって,エージェントが目標を達成することを可能にします.

キーワード:
アクティブ・インフェレーション好奇心で探求する自由エネルギー原理目標指向の行動計画情報獲得

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