Artificial Intelligence A Modern Approach

Integrates state-of-the-art AI techniques into intelligent agent designs, using examples and exercises to lead the reader from simple reactive agents to full knowledge-based agents with natural language capabilities. Covers areas that are sometimes under-emphasized--reasoning under uncertainty, learning, natural language, vision and robotics--and explains in detail some of the more recent ideas in the field e.g., simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural nets, inductive logic, programming, computational learning theory, and reinforcement learning. This highly accessible and well-written, state-of-the-art professional reference is for programmers, software engineers, system administrators, or technical managers who want to learn about or use A.I. techniques and software solutions.