Artificial Intelligence

Author: Shaoping Ma
Publisher:
Publish Date: 2004-08-01
Features: This book primarily elaborates on the general principles and fundamental concepts of artificial intelligence problem-solving methods. The main contents include: general search problems, including blind search and heuristic search; AND/OR graph search, including AO algorithms and game tree search; predicate logic and theorem-proving methods based on resolution; knowledge representation, including production methods, semantic networks, and frames; uncertainty reasoning methods, including Bayesian methods, evidence theory, and deterministic methods; machine learning, including instance learning, explanation learning, decision tree learning, and neural networks; advanced search, including local search methods, simulated annealing methods, and genetic algorithms. This book can serve as a textbook or reference for undergraduate or graduate students in computer science majoring in artificial intelligence foundation courses.