G. Wickler

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In this paper we define and attack the problem of competence assessment for intelligent agents. The basic idea is that we use meta-knowledge to infer competence. The main contribution of this paper is a single rule that allows efficient competence assessment for any system with explicit strategic knowledge. The reason for this is that strategic knowledge(More)
This paper discusses the competence and cap ability assessment problems the di erences between them and a uni ed method to solve them Competence can be assessed by exploiting meta rules present in the knowledge base Cap ability assessment focuses on planning meta knowledge can be used here as well There are di erent stages in the planning process where meta(More)
In this thesis, we present a novel multi-agent travel planning algorithm which finds shared journeys for multiple travellers. The algorithm uses existing planners and works in three phases: finding initial single-agent plans, their optimisation by the best-response approach and matching the plans to the timetable. The algorithm has been evaluated using(More)
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