Knowledge representations for learning control
Mieczyslaw M. Kokar, Charles W. Anderson, T. Dean, Kimon P. Valavanis, Wlodek Zadrozny · 2002
Covers such issues as the meaning of representation, the role representation plays in programs for learning control, expressive power of particular representation schemes, and the impact of choosing a particular representation on the complexity of reasoning and learning. The authors cover intelligence-in-the limb versus intelligence; learning efficiency as the critical issue in learning control, selective versus constructive induction and map learning: binary- and fuzzy-logic-base knowledge representation for intelligent robotic systems; and knowledge representation, definability, and self-reference.>