Refinement in Agent Groups

Ciara Byrne, Peter Edwards

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

6 Citations (Scopus)
7 Downloads (Pure)

Abstract

A group of intelligent agents may work together in order to solve a problem or achieve a common goal. If the group fails to achieve a goal, it may be able to adapt its behaviour so that such a goal can be achieved in the future. One of the ways in which the behaviour of the agent group can be changed is by refining the knowledge of individual agents. We are developing a distributed refinement system called DRAMA (Distributed Refinement Among Multiple Agents) to perform this task. The system makes use of a special type of agent called a refinement facilitator which coordinates the refinement process within the agent group.
Original languageEnglish
Title of host publicationAdaption & Learning in Multi-Agent Systems
Subtitle of host publicationProceedings of the IJCAI'95 Workshop - Montreal, Canada, August 21 1995
EditorsGerhard Weiss, Sandip Sen
PublisherSpringer-Verlag
Pages22-39
ISBN (Electronic)978-3-540-49726-4
ISBN (Print)978-3-540-60923-0
DOIs
Publication statusPublished - 1996

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume1042

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Keywords

  • multi-agent systems
  • machine learning
  • knowledge refinement

Cite this

Byrne, C., & Edwards, P. (1996). Refinement in Agent Groups. In G. Weiss, & S. Sen (Eds.), Adaption & Learning in Multi-Agent Systems: Proceedings of the IJCAI'95 Workshop - Montreal, Canada, August 21 1995 (pp. 22-39). (Lecture Notes in Computer Science; Vol. 1042). Springer-Verlag. https://doi.org/10.1007/3-540-60923-7_17