Normative practical reasoning: an argumentation-based approach

Zohreh Shams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Autonomous agents operating in a dynamic environment must be able to reason and make decisions about actions in pursuit of their goals. In addition, in a normative environment an agent's actions are not only directed by the agent's goals, but also by the norms imposed on the agent. Practical reasoning is reasoning about what to do in a given situation, particularly in the presence of conflicts between the agent's practical attitude such as goals, plans and norms. In this thesis we aim: (i) to introduce a model for normative practical reasoning that allows the agents to plan for multiple and potentially conflicting goals and norms at the same time (ii) to implement the model both formally and computationally, (iii) to identify the best plan for the agent to execute by means of argumentation framework and grounded semantics, (iv) to justify the best plan via argumentation-based persuasion dialogue for grounded semantics.

Original languageEnglish
Title of host publicationIJCAI International Joint Conference on Artificial Intelligence, 2015
PublisherInternational Joint Conferences on Artificial Intelligence
Pages4397-4398
Number of pages2
ISBN (Print)9781577357384
Publication statusPublished - Jan 2015
Event24th International Joint Conference on Artificial Intelligence, IJCAI 2015 - Buenos Aires, Argentina
Duration: 25 Jul 201531 Jul 2015

Conference

Conference24th International Joint Conference on Artificial Intelligence, IJCAI 2015
CountryArgentina
CityBuenos Aires
Period25/07/1531/07/15

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