The Agent-Based Approach: A New Direction for Computational Models of Development

Authors

Matthew Schlesinger, University of Massachusetts - Amherst
Domenico Parisi

Publication Date

2001

Abstract

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.

Comments

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Recommended Citation

Schlesinger, Matthew and Parisi, Domenico, "The Agent-Based Approach: A New Direction for Computational Models of Development" (2001). Computer Science Department Faculty Publication Series. 165.
Retrieved from https://scholarworks.umass.edu/cs_faculty_pubs/165