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 language | English |
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Title of host publication | Multi-Agent Systems |
Subtitle of host publication | 20th European Conference, EUMAS 2023, Naples, Italy, September 14–15, 2023, Proceedings |
Publisher | Springer |
Pages | 345-362 |
Number of pages | 18 |
ISBN (Electronic) | 978-3-031-43264-4 |
ISBN (Print) | 978-3-031-43263-7 |
DOIs | |
Publication status | Published - 7 Sept 2023 |
Event | 20th European Conference of Multi-Agents Systems: 20th European Conference of Multi-Agents Systems - University of Naples, Naples, Italy Duration: 14 Sept 2023 → 15 Sept 2023 https://vadimmalvone.github.io/eumas2023/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 14282 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 20th European Conference of Multi-Agents Systems |
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Abbreviated title | EUMAS |
Country/Territory | Italy |
City | Naples |
Period | 14/09/23 → 15/09/23 |
Other | 20th 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