1ª aula
presentação: Organization, Program, Introduction
1ª aula
presentação: Organization, Program, Introduction
2ª aula
Knowledge and Learning: EBL, Domain Theory, Analogical Reasoning, Verbal Categories, Visual Categories, Reinforcement Learning3ª aula
Reinforcement Learning: Passive learning vs. Active Learning, LMS, ADP, TD, Q-Values, Explicit Representation, Genetic Algorithms and Reinforcement Learning4ª aula
Cognitive Systems, Soar, Chunking-based Learning, Associative Computing, Learning5ª aula
Analogy,Multidimensional Scaling,Structure Mapping Engine,Copycat,PR and AI, Bongard problem, Letter Spirit, Invariant Pattern recognition, Hierarchical Networks, Information and Contours6ª aula
Brain information and learning
7ª aula
Prasad Pereira , Reinforcement Learning
8ª aula
Luis Tarrataca , Parallel Search and Learning