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. Specifically we consider situations in which the agent’s actions no longer perform as anticipated by the programmers who created the agent’s plans. 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
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semantics.
Original language | English |
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Title of host publication | AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems |
Place of Publication | London |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Pages | 2370-2372 |
Number of pages | 3 |
ISBN (Electronic) | 9781450394321 |
Publication status | Published - 30 May 2023 |
Event | 22nd International Conference on Autonomous Agents and Multiagent Systems - London ExCeL conference centre, London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 https://aamas2023.soton.ac.uk/ |
Conference
Conference | 22nd International Conference on Autonomous Agents and Multiagent Systems |
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Abbreviated title | AAMAS 2023 |
Country/Territory | United Kingdom |
City | London |
Period | 29/05/23 → 2/06/23 |
Internet address |
Bibliographical note
Extended Abstract and Poster PresentationKeywords
- Beliefs-Desires-Intentions
- Action Descriptions
- AI planning