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Towards a Motivation-Based Approach for Evaluating Goals

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

3 Citations (Scopus)

Abstract

Traditional goal-oriented approaches to building intelligent agents only consider absolute satisfaction of goals. However, in continuous domains there may be many instances in which a goal state can only be partially satisfied. In these situations the traditional symbolic goal representation needs modifying in order that an agent can determine a worth value of a goal state and also of any state approximating the goal. In our work we use the concept of worth in two ways. First, we propose a mechanism by which the worth of a goal is dynamically set as a function of the intensity of an underlying motivation. Second, we determine the worth of any state in relation to a goal through the use of a metric by which we can measure the proximity of an environmental state to a goal. In this way, it is possible to make judgements about the relative satisfaction an environmental state offers in regard to a goal.

Original languageEnglish
Title of host publicationAAMAS '03: Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1074-1075
Number of pages2
Edition1st
ISBN (Print)9781581136838
DOIs
Publication statusPublished - 14 Jul 2003
Event2nd International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2003 - Melbourne, Australia
Duration: 14 Jul 2003 → 18 Jul 2003

Publication series

NameProceedings of the international joint conference on Autonomous agents and multiagent systems

Conference

Conference2nd International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2003
Country/TerritoryAustralia
CityMelbourne
Period14/07/03 → 18/07/03

User-Defined Keywords

  • Decision making
  • Goal Generation
  • Motivation

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