Intelligent Systems: Principles, Paradigms and Pragmatics

Chapter 1 Introduction to Intelligent Systems
Chapter 2 First Steps in IS: Representation, Ontologies, and Obtaining Expertise
Chapter 3 Search and Computational Complexity in IS
Chapter 4 Constraint Satisfaction Problems, Part 1
Chapter 5 CSPs, Part 2: Structural Approaches Leading to Natural Language (NL) Understanding and Related Topics
Chapter 6 From Logic-Based Chaining to Production Systems
Chapter 7 The c Language Integrated Production System (clips)
Chapter 8 Extended and Structured Production System Representation and Manipulation Approaches, Including Agents
Chapter 9 Soar
Chapter 10 Representing and Manipulating Uncertainty in IS, Part1: Confidence Factors, Probability, Belief Networks and Multivalued Logic
Chapter 11 Representing and Manipulating Uncertainty in IS, Part 2: Fuzzy Systems and FUZZYclips
Chapter 12 Planning in IS
Chapter 13 Biologically-inspired Computing and IS: Neural Networks (Part 1)
Chapter 14 Neural Networks (Part 2): Recurrent Networks and IS Applications
Chapter 15 Neural Networks (Part 3): Self-Organizing Systems
Chapter 16 Learning in IS
Chapter 17 Genetic Algorithms, Swarm Intelligence and Other Evolutionary Computing Concepts in IS

Chapter 1 Introduction to Intelligent Systems
Chapter 2 First Steps in IS: Representation, Ontologies, and Obtaining Expertise
Chapter 3 Search and Computational Complexity in IS
Chapter 4 Constraint Satisfaction Problems, Part 1
Chapter 5 CSPs, Part 2: Structural Approaches Leading to Natural Language (NL) Understanding and Related Topics
Chapter 6 From Logic-Based Chaining to Production Systems
Chapter 7 The c Language Integrated Production System (clips)
Chapter 8 Extended and Structu...