Using Non-Monotonic Logics to Create a Dynamic Framework for a Behavior Support Agent

Johanna Wolff

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Behavior support agents can assist humans in accomplishing a variety of goals by suggesting actions that promote the desired outcome while being in line with the user’s needs and preferences. In order to make these agents more effective, flexible and responsible, this research aims to create a framework which allows for more interaction between the agent and the user. By using techniques from non-monotonic reasoning, this work aims to model the knowledge base of the agent so that it aligns with the user’s mental model and is able to be modified by the user through new input. In order for the agent to be able to explain its output to the user, the reasoning process needs to be explicit and traceable, which this work intends to incorporate into a logical framework.
Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
Subtitle of host publicationHHAI 2023: Augmenting Human Intellect
EditorsPaul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi
PublisherIOS
Pages459-469
Number of pages11
ISBN (Electronic)978-1-64368-395-9
ISBN (Print)978-1-64368-394-2
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023 - Design Offices Macherei, Munich, Germany
Duration: 26 Jun 202330 Jun 2023
Conference number: 2

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Volume368
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023
Abbreviated titleHHAI 2023
Country/TerritoryGermany
CityMunich
Period26/06/2330/06/23

Keywords

  • Non-Monotonic Logics
  • Knowledge Representation
  • User Modeling
  • Behaviour support technology

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