Adaptive Cognitive Agents: Updating Action Descriptions and Plans

Peter Stringer* (Corresponding Author), Rafael C. Cardoso, Clare Dixon, Michael Fisher, Louise A. Dennis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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 publicationMulti-Agent Systems
Subtitle of host publication20th European Conference, EUMAS 2023, Naples, Italy, September 14–15, 2023, Proceedings
PublisherSpringer
Pages345-362
Number of pages18
ISBN (Electronic)978-3-031-43264-4
ISBN (Print)978-3-031-43263-7
DOIs
Publication statusPublished - 7 Sept 2023
Event20th European Conference of Multi-Agents Systems: 20th European Conference of Multi-Agents Systems - University of Naples, Naples, Italy
Duration: 14 Sept 202315 Sept 2023
https://vadimmalvone.github.io/eumas2023/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume14282
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th European Conference of Multi-Agents Systems
Abbreviated titleEUMAS
Country/TerritoryItaly
CityNaples
Period14/09/2315/09/23
Other20th European Conference of Multi-Agents Systems, EUMAS 2023, Naples, Italy, September 14–15, 2023
Internet address

Bibliographical note

This work has been supported by The University of Manchester’s Department of Computer Science and the EPSRC “Robotics and AI for Nuclear” (EP/R026084/1), “Future AI and Robotics for Space” (EP/R026092/1), and Computational Agent Responsibility (EP/W01081X/1) Hubs and the TAS Verifiability Node (EP/V026801). During the course of this work, Michael Fisher was supported by the Royal Academy of Engineering.

Keywords

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

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