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Work on AI systems with learning capabilities is quite
varied in IIIA. We have focused on symbolic learning methods not as isolated
techniques. We have developed learning methods that are integrated in
AI systems--- that is to say, that deal with other subareas of AI like
reasoning and problem-solving, knowledge acquisition and modelling,
distributed AI and multiagent systems.
Integrating knowledge modelling, case-based reasoning and inductive
methods
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Multiagent Learning
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The Noos representation language
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Case-based Reasoning
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Object-oriented induction
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