Bayesian Geometric-based Interactions Learning Model for Self-aware Autonomous Agents

Autonomous agents can perceive and act in the environment only by interacting with neighboring agents. This paper proposes a novel probabilistic interaction model that allows the agent to learn the dynamics of the interactive experiences incrementally. The learned model represents the dynamic intera...

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Bibliographic Details

Published in:	Signal processing Vol. 239; p. 110237
Main Authors:	Iqbal, Hafsa, Marin, Pablo, Marcenaro, Lucio, Gomez, David Martin, Regazzioni, Carlo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2026
Subjects:	Active/passive interactions Autobiographical Memory Incremental learning Interactive Geometrical Markov Jump Particle Filter Interactive Hierarchical Generalized Dynamic Bayesian Network Incremental learning Autobiographical Memory Active/passive interactions Interactive Hierarchical Generalized Dynamic Bayesian Network Interactive Geometrical Markov Jump Particle Filter
ISSN:	0165-1684
Online Access:	Get full text
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