Includes index.

Contents: Artificial intelligence: its roots and scope: AI: History and applications -- Artificial intelligence as representation and search: The Predicate calculus -- Structures and strategies for state space search -- Heuristic search -- Stochastic methods -- Control and implementation of state space search -- Capturing intelligence: the AI challenges: Strong method problem solving -- Reasoning in uncertain situations -- Machine learning: Machine learning: symbol-based -- Machine learning: connectionist -- Machine learning: genetic and emergent -- Machine learning: probabilistic -- Advanced topics for AI problem solving: Automated reasoning -- Understanding natural language -- Epilogue: Artificial intelligence as empirical enquiry.