Artificial Intelligence: Structures and Strategies for Complex Problem Solving

摘要: From the Publisher: Combines theoretical foundations of intelligent problem-solving with he data structures and algorithms needed for its implementation. The book presents logic, rule, object agent-based architectures, along example programs written in LISP PROLOG. The practical applications AI have been kept within context broader goal: understanding patterns intelligence as it operates this world uncertainty, complexity change. The introductory concluding chapters take a new look at potentials challenges facing artificial cognitive science. An extended treatment knowledge-based is given including model-based case-based reasoning. Includes material on: Fundamentals search, inference knowledge representation AI PROLOG Production systems, blackboards, meta-interpreters planers, rule-based reasoners, inheritance systems. Machine-learning ID3 bagging boosting, explanation based learning, PAC other forms induction Neural networks, perceptrons, back propogation, Kohonen Hopfield Grossberg counterpropagation. Emergent social methods learning adaptation, genetic algorithms, programming life. Object problem solving advanced representation