The project investigates agent-based techniques for modeling and reasoning about illegitimate maritime activities.

So far, Case-based Reasoning has not become as successful in medicine as in some other application domains. One, probably the main reason is that on the one side in Case-based Reasoning the adaptation problem could not be solved in a general way. On the other side in medicine adaptation is often more difficult than in other domains, because usually more and complex features have to be considere...

Human reasoning across experiential cases in episodic memory seems quite different from conventional artificial reasoning with conceptual representations by systematically manipulating them according to logical rules. One difference is that in humans linkages between particular experiences can apparently be made in a number of qualitatively different ways, forming recollective chains along diff...

In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework which encompasses three steps: (1) it observes agents performing actions, elicits stochastic policies representing the agents’ strategies and retains these policies as cases. (2) The agent analyzes the environment and r...

INduction and REasoning from CAses was the title of two large European CBR projects funded by the European Commission from 1992 – 1999. In total, the two projects (abbreviated INRECA and INRECA-II) have obtained an overall funding of 3 MEuro, which enabled the 5 project partners to perform 55 person years of research and development work. The projects made several significant contributions to C...

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