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Design Rationale Capture as Knowledge Acquisition
A DomainIndependent Framework for Effective Experimentation in Planning
Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method
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Abstract accuracy acquisition action advice taker applied approach Artificial Intelligence attributes background knowledge behavior bias chess CIGOL classification clause clusters Cognitive complex component Computer Science concept description concept learning Conference on Artificial constraints constructive induction decision trees defined described documents domain theory error evaluation experiments explanation explanation-based learning feature construction Figure FOCL FOIL function given goal GOLEM heuristic hidden units Horn clause hypothesis incremental inductive learning inference initial input International knowledge base learner learning algorithm learning system literals logic Machine Learning method Morgan Kaufmann Muggleton negative examples node operator output paper Pazzani performance planning positive examples predicates problem solving Proceedings Q-learning query Quinlan reactive reactive plans refinement reinforcement learning relations relevant representation represented retrieval robot rules selected sequence space strategy structure supervised learning task techniques tion training set tuples utility values variables