Intelligent Systems: Principles, Paradigms and Pragmatics (Hardcover)

<內容簡介>

Artificial Intelligence has changed significantly in recent years and many new resources and approaches are now available to explore and implement this important technology. Intelligent Systems: Principles, Paradigms, and Pragmatics takes a modern, 21st-century approach to the concepts of Artificial Intelligence and includes the latest developments, developmental tools, programming, and approaches related to AI. The author is careful to make the important distinction between theory and practice, and focuses on a broad core of technologies, providing students with an accessible and comprehensive introduction to key AI topics.

<章節目錄>

Ch1: Introduction to Intelligent Systems
Ch2: First Steps in IS: Representation, Ontologies, and Obtaining Expertise
Ch3: Search and Computational Complexity in IS
Ch4: Constraint Satisfaction Problems, Part 1
Ch5: CSPs, Part 2: Structural Approaches Leading to Natural Language (NL) Understanding and Related Topics
Ch6: From Logic-Based Chaining to Production Systems
Ch7: The c Language Integrated Production System (clips)
Ch8: Extended and Structured Production System Representation and Manipulation Approaches, Including Agents
Ch9: Soar
Ch10: Representing and Manipulating Uncertainty in IS, Part1: Confidence Factors, Probability, Belief Networks and Multivalued Logic
Ch11: Representing and Manipulating Uncertainty in IS, Part 2: Fuzzy Systems and FUZZYclips
Ch12: Planning in IS
Ch13: Biologically-inspired Computing and IS: Neural Networks (Part 1)
Ch14: Neural Networks (Part 2): Recurrent Networks and IS Applications
Ch15: Neural Networks (Part 3): Self-Organizing Systems
Ch16: Learning in IS
Ch17: Genetic Algorithms, Swarm Intelligence and Other Evolutionary Computing Concepts in IS