A framework for splitting BDI agents

Xiaocong Fan, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 loadbalancing mechanism. Based on a simple BDI agent model, this paper studies how to split BDI agents logically while preserving the implicit information chains.

Original languageEnglish (US)
Title of host publicationLogic for Programming, Artificial Intelligence, and Reasoning - 9th International Conference, LPAR 2002, Proceedings
EditorsMatthias Baaz, Andrei Voronkov
PublisherSpringer Verlag
Pages160-174
Number of pages15
ISBN (Print)3540000100, 9783540000105
DOIs
StatePublished - Jan 1 2002
Event9th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2002 - Tbilisi, Georgia
Duration: Oct 14 2002Oct 18 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2514
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2002
CountryGeorgia
CityTbilisi
Period10/14/0210/18/02

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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