Abstract
Autonomous agents are supposed to be able to finish tasks or achieve goals that are assigned by their users through performing a sequence of actions. Since there might exist multiple plans that an agent can follow and each plan might promote or demote different values along each action, the agent should be able to resolve the conflicts between them and evaluate which plan he should follow. In this paper, we develop a logic-based framework that combines modal logic and argumentation for value-based practical reasoning with plans. Modal logic is used as a technique to represent and verify whether a plan with its local properties of value promotion or demotion can be followed to achieve an agent's goal. We then propose an argumentation-based approach that allows an agent to reason about his plans in the form of supporting or objecting to a plan using the verification results.
Original language | English |
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Title of host publication | Computational Models of Argument - Proceedings of COMMA 2022 |
Editors | Francesca Toni, Sylwia Polberg, Richard Booth, Martin Caminada, Hiroyuki Kido |
Publisher | IOS Press BV |
Pages | 248-259 |
Number of pages | 12 |
ISBN (Electronic) | 9781643683065 |
DOIs | |
State | Published - 7 Sep 2022 |
Externally published | Yes |
Event | 9th International Conference on Computational Models of Argument, COMMA 2022 - Wales, United Kingdom Duration: 14 Sep 2022 → 16 Sep 2022 |
Publication series
Name | Frontiers in Artificial Intelligence and Applications |
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Volume | 353 |
ISSN (Print) | 0922-6389 |
ISSN (Electronic) | 1879-8314 |
Conference
Conference | 9th International Conference on Computational Models of Argument, COMMA 2022 |
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Country/Territory | United Kingdom |
City | Wales |
Period | 14/09/22 → 16/09/22 |
Bibliographical note
Publisher Copyright:© 2022 The authors and IOS Press. All rights reserved.
Keywords
- Argumentation
- Modal Logic
- Practical Reasoning
- Value