Flexible task resourcing for intelligent agents

Murat Sensoy, Wamberto W Vasconcelos, Timothy J Norman

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

1 Citation (Scopus)

Abstract

In many applications, tasks can be delegated to intelligent agents.
In order to carry out a task, an agent should reason about what types
of resources the task requires. However, determining the right resource
types requires extensive expertise and domain knowledge.
In this paper, we propose means to automate the selection of resource
types that are required to fulfill tasks. Our approach combines
ontological reasoning and logic programming for a flexible
matchmaking of resources to tasks. Using the proposed approach,
intelligent agents can autonomously reason about the resources and
tasks in various real-life settings. Using a case-study, we describe
and evaluate how agents can use the proposed approach to promote
resource sharing. Our evaluations show that the proposed approach
is efficient and very useful for multi-agent systems.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010)
EditorsWiebe Van der Hoek, Gal Kaminka, Michael Luck, Sandip Sen
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Pages465-472
Number of pages8
ISBN (Electronic)0-98265-710-0, 978-0-9826571-1-9
Publication statusPublished - 2010

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Keywords

  • knowledge representation
  • semantic matchmaking
  • agents

Cite this

Sensoy, M., Vasconcelos, W. W., & Norman, T. J. (2010). Flexible task resourcing for intelligent agents. In W. Van der Hoek, G. Kaminka, M. Luck, & S. Sen (Eds.), Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010) (pp. 465-472). International Foundation for Autonomous Agents and Multiagent Systems.