Abstract
In a normative environment an agent’s actions are not only directed by its goals but also by the norms imposed on the agent. However, the potential conflicts within and between the agent’s goals and norms makes decision-making in these frameworks a challenging task. The questions we are addressing in this paper are: (i) how should an agent act in a normative environment? (ii) how can the agent point out why it acted in a certain way? We propose a solution in which a normative planning problem serves as the basis for a practical reasoning approach based on argumentation. The properties of the best plan(s) with respect to goal achievement and norm compliance are mapped to arguments that are used to explain why a plan is justified, using an existing proof dialogue game.
Original language | English |
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Title of host publication | Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016 |
Editors | S. Kambhampati |
Place of Publication | Palo Alto, U. S. A. |
Publisher | AAAI Press |
Pages | 1244-1250 |
Number of pages | 7 |
ISBN (Print) | 9781577357704 |
DOIs | |
Publication status | Published - 31 Jul 2016 |
Event | 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016 - New York, USA United States Duration: 9 Jul 2016 → 15 Jul 2016 |
Publication series
Name | Proceedings (IITA International Joint Conference on Artificial Intelligence) |
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Publisher | AAAI Press |
ISSN (Electronic) | 2162-1179 |
Conference
Conference | 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016 |
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Country/Territory | USA United States |
City | New York |
Period | 9/07/16 → 15/07/16 |
Fingerprint
Dive into the research topics of 'Normative practical reasoning via argumentation and dialogue'. Together they form a unique fingerprint.Profiles
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Marina De Vos
- Department of Computer Science - Senior Lecturer
- Centre for Mathematical Biology
- UKRI CDT in Accountable, Responsible and Transparent AI
- Centre for Therapeutic Innovation
- Artificial Intelligence and Machine Learning
- Innovation Bridge
Person: Research & Teaching, Core staff
-
Julian Padget
- Department of Computer Science - Reader
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Water Innovation and Research Centre (WIRC)
- UKRI CDT in Accountable, Responsible and Transparent AI
- Centre for Therapeutic Innovation
- Artificial Intelligence and Machine Learning
- IAAPS: Propulsion and Mobility
- Innovation Bridge
- Institute for Digital Security and Behaviour (IDSB)
Person: Research & Teaching, Core staff