An action planning module based on vague knowledge extracted from past experiences

Authors:
Grzegorz Popek
Affiliations:
Institute of Information Science and Engineering, Wrocław University of Technology, Wrocław, Poland
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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Abstract

In this paper, an agent architecture is presented and a formal model for a preference choice module and planning module based on vague knowledge is described. An agent situated in an environment gathers information about objects placed around it and stores this information inside it's own database. According to it's preferences, an agent plans it's actions in order to change surrounding environment into it's preferences. Because of a partial lack of knowledge about an environment, an agent chooses a plan with a highest success ratio due to it's previous observations.