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ATAL
2003
Springer

Towards a motivation-based approach for evaluating goals

13 years 8 months ago
Towards a motivation-based approach for evaluating goals
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. Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Arti...
Stephen J. Munroe, Michael Luck, Mark d'Inverno
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where ATAL
Authors Stephen J. Munroe, Michael Luck, Mark d'Inverno
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