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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)
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)
The aim of this paper is to describe and solve a new type of planning problem in which a group of peers need to find and agree upon a plan that solves a given problem. Classical planning only addresses the finding of a plan, whereas agent research defines the concept of commitment which we will use to define the " agreed " aspect of a plan. The problem will(More)
This paper discusses the competence and capability assessment problems, the diierences between them, and a uniied method to solve them. Competence can be assessed by exploiting metarules present in the knowledge base. Capability assessment focuses on planningg meta-knowledge can be used here as well. There are diierent stages in the planning process where(More)
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