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LPAR 2002

A Framework for Splitting BDI Agents

Conference Paper Accepted Paper Artificial Intelligence · Logic in Computer Science

Abstract

Abstract Agent splitting is useful in at least three fields. In mobile computing, it’s more reasonable to transfer smarter and smaller clones of an agent rather than the bulky agent itself. In agent teamwork field, it can be used as the basis for modeling the shared mental state of team-based agents. In Multi-Agent systems, it can be embedded as a built-in load-balancing mechanism. Based on a simple BDI agent model, this paper studies how to split BDI agents logically while preserving the implicit information chains.

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Context

Venue
International Conference on Logic for Programming, Artificial Intelligence and Reasoning
Archive span
1992-2024
Indexed papers
780
Paper id
1058413997103629785