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Strategic Argumentation to deal with Interactions between Intelligent Systems and Humans
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Responsible Artificial Intelligence)ORCID iD: 0000-0001-9379-4281
2021 (English)In: Online Handbook ofArgumentation for AI: Volume 2 / [ed] Federico Castagna, Francesca Mosca, Jack Mumford, Stefan Sarkadi, Andreas Xydis, 2021, 2, p. 2-6Chapter in book (Refereed)
Abstract [en]

Collaborative intelligence between humans and intelligent systems relies heavily on the skills of humans and intelligent systems for reaching agreements. This requires complex dialogue processes, which include human reasoning based on common sense and goal-oriented decision-making performed by the intelligent systems, considering the human's dynamic goals and changing beliefs. This project aims to approach these challenges by studying non-monotonic reasoning techniques in the setting of strategic interaction between intelligent systems and humans. To capture the underlying logic of human reasoning, cognitive theories in logical formalizations are explored, e.g., in abstract argumentation or answer set programming. These reasoning architectures will support the decision-making process of rational agents that aim to join a given dialogue-based interaction with humans. With a particular focus on applications of persuasive technology, we see strategic argumentation as a process of decision-making for changing mental states of human agents.

Place, publisher, year, edition, pages
2021, 2. p. 2-6
Keywords [en]
Strategic decision-making, human-aware planning, collaborative intelligence, non-monotonic reasoning, human modelling
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-186567OAI: oai:DiVA.org:umu-186567DiVA, id: diva2:1584375
Available from: 2021-08-11 Created: 2021-08-11 Last updated: 2021-08-12Bibliographically approved

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Andreas, Brännström

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