Intelligent systems : principles, paradigms, and pragmatics / Robert J. Schalkoff.

Incluye bibliografía.

Introduction to intelligent systems -- First steps in IS: representation, ontologies, and obtaining expertise -- Search and computational complexity in IS -- Constraint satisfaction problems, Part 1 -- CSPs, Part 2: Sstructural approaches leading to natural language understanding and related topics -- From logic-based chaining to production systems -- The C language integrated production system (CLIPS) -- Extended production system representation and manipulation approaches, including agents -- Soar -- Representing and manipulating uncertainty in IS, Part1: Confidence factors, probability, belief networks and multivalued logic -- Representing and manipulating uncertainty in IS, Part 2: Fuzzy systems and fuzzyCLIPS -- Planning in IS -- Biologically-inspired computing and IS: neural networks (Part 1) -- Neural networks (Part 2): recurrent networks and IS applications -- Neural networks (Part 3): self-organizing systems -- Learning in IS -- Genetic algorithms, swarm intelligence and other evolutionary computing concepts in IS.