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Many quality measures for rule discovery are binary measures, they are designed to rate binary rules (rules which separate the database examples into two categories eg. " it is a bird " vs. " it is not a bird ") and they cannot rate N-ary rules (rules which separate the database examples into N categories eg. " it is a bird " or " it is an insect " or " it(More)
— This paper is at the crossroad of Cognitive Psychology and AI Robotics. It reports a cross-disciplinary project concerned about implementing human heuristics within autonomous mobile robots. In the following, we address the problem of relying on human-based heuristics to endow a group of mobile robots with the ability to solve problems such as target(More)
We developed a system to obtain a robot able to learn to emulate the strategies used by a human facing a problem-solving task. We have been able to solve this problem within a particular setting in which the human behaviour can be interpreted as time series of 'observables' of his/her problem-solving strategy. Our solution encompasses the solution of yet(More)
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