Regular ArticleThe agent-based Approach: A New Direction for Computational Models of Development☆
The agent-based approach emphasizes the importance of learning through organism-environment interaction. This approach is part of a recent trend in computational models of learning and development toward studying autonomous organisms that are embedded in virtual or real environments. In this paper we introduce the concepts of online and offline sampling and highlight the role of online sampling in agent-based models. After comparing the strengths of each approach for modeling particular developmental phenomena and research questions, we describe a recent agent-based model of infant causal perception. We conclude by discussing some of the present limitations of agent-based models and suggesting how these challenges may be addressed.
@TheStoppelsShow @DerekBrez @OCDSB @Sugatam I wonder if control can be an agent for learning? If so, to what end? If not, what is the consequence or outcome of a control-based approach to learning? As a shortcut, control ensures a predetermined endpoint.— CAMERON JONES (@SteamPoweredDM) Mar 22, 2021
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