Adaptive Cognitive Agents: Updating Action Descriptions and Plans

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

17 Downloads (Pure)

Abstract

In this paper we present an extension of Belief-Desire-Intention agents which can adapt their performance in response to changes in their environment. We consider situations in which the agent’s actions no longer perform as anticipated. Our agents maintain explicit descriptions of the expected behaviour of their actions, are able to track action performance, learn new action descriptions and patch affected plans at runtime. Our main contributions are the underlying theoretical mechanisms for data collection about action performance, the synthesis of new action descriptions from this data and the integration with plan reconfiguration. The mechanisms are supported by a practical implementation to validate the approach.

Original languageEnglish
Title of host publication20th European Conference of Multi-Agents Systems
PublisherSpringer Nature
Pages345-362
DOIs
Publication statusPublished - 7 Sept 2023

Publication series

NameMulti-Agent Systems
Volume14282
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Beliefs-Desires-Intentions
  • Action Descriptions
  • AI Planning

Fingerprint

Dive into the research topics of 'Adaptive Cognitive Agents: Updating Action Descriptions and Plans'. Together they form a unique fingerprint.

Cite this