Chapter 1 The History of AI　What is Intelligence?　The Search for Mechanical Intelligence　The Very Early Days(the early 1950s)　Artificial Intelligence Emerges as a Field　AI's Winter　AI Re-emerges　AI Inter-Disciplinary R&D　Systems Approach　Overview of this Book　Chapter Summary　References　Resources　ExercisesChapter 2 Uninformed Search　Search and AI　Classes of Search　General State Space Search　Trees, Graphs, and Representation　Uninformed Search　Improvements　Algorithm Advantages　Chapter Summary　Algorithms Summary　References　ExercisesChapter 3 Informed Search　Informed Search　Best-First Search(Best-FS)　A* Search　Hill-Climbing Search　Simulated Annealing(SA)　Tabu Search　Constraint Satisfaction Problems(CSP)　Constraint Satisfaction Algorithms　Chapter Summary　Algorithms Summary　References　Resources　ExercisesChapter 4 AI and Games　Two-Player Games　The Minimax Algorithm　Classical Game AI　Video Game AI　Chapter Summary　References　Resources　ExercisesChapter 5 Knowledge Representation　Introduction　Types of Knowledge　The Role of Knowledge　Semantic Networks　Frames　Propositional Logic　First-Order Logic(Predicate Logic)　Semantic Web　Computational Knowledge Discovery　Ontology　Communication of Knowledge　Chapter Summary　References　Resources　ExercisesChapter 6 Machine Learning　Machine-Learning Algorithms　Chapter Summary　Resources　ExercisesChapter 7 Evolutionary Computation Short History of Evolutionary Computation　Biological Motivation Genetic Algorithms (GA) Genetic Programming (GP) Evolutionary Strategies (ES) Differential Evolution (DE) Particle Swarm Optimization (PSO) Evolvable Hardware Chapter Summary References Resources ExercisesChapter 8 Neural Networks I Short History of Neural Networks Biological Motivation Fundamentals of Neural Networks The Perceptron Least-Mean-Square (LMS) Learning Learning with Backpropagation Probabilistic Neural Networks (PNN) Other Neural Network Architectures Tips for Building Neural Networks Chapter Summary References ExercisesChapter 9 Neural Networks II Unsupervised Learning Hebbian Learning Simple Competitive Learning K-Means Clustering Adaptive Resonance Theory (ART) Hopfield Auto-Associative Model Chapter Summary References ExercisesChapter 10 Robotics and AI Introduction to Robotics Braitenburg Vehicles Natural Sensing and Control Perception with Sensors Actuation with Effectors Robotic Control Systems Simple Control Architectures Movement Planning Group or Distributed Robotics Robot Programming Languages Robot Simulators Chapter Summary References Resources ExercisesChapter 11 Intelligent Agents Anatomy of an Agent Agent Properties and AI Agent Environments Agent Taxonomies Agent Architectures Agent Languages Agent Communication ACL (FIPA Agent Communication Language) Chapter Summary Resources References ExercisesChapter 12 Biologically Inspired and Hybrid Models Cellular Automata (CA) Artificial Immune Systems Artificial Life Fuzzy Systems Evolutionary Neural Networks Ant Colony Optimization (ACO) Affective Computing ResourcesChapter 13 The Languages of AI Language Taxonomy Languages of AI Other Languages Chapter Summary References Resources Exercises
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