Towards a Motivation-Based Approach for Evaluating Goals

Steve Munroe, Michael Luck, Mark D'Inverno

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-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 200318 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
Period14/07/0318/07/03

User-Defined Keywords

  • Decision making
  • Goal Generation
  • Motivation

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