Hands-On Al with Java: Smart Gaming, Robots, and More Smart Gaming, Robots, and More

Name: Hands-On Al with Java: Smart Gaming, Robots, and More Smart Gaming, Robots, and More
Availability: OutOfStock
ISBN: 9780071424967

ISBN-10: 0071424962

ISBN-13: 9780071424967

Edition: 2004

Authors: Edwin Wise

List price: $39.95

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Description:

Firstly, the author introduces the techniques of AI, then uses Java to fully illustrate them. The Java code cited in this text can be used in a number of situations such as games, robotics, Web agents and more.

Book details

List price: $39.95
Copyright year: 2004
Publisher: McGraw-Hill Professional Publishing
Publication date: 1/16/2004
Binding: Paperback
Pages: 340
Size: 7.00" wide x 8.75" long x 1.00" tall
Weight: 1.298
Language: English

Acknowledgments	p. xi
Artificial intelligence	p. 1
Introduction	p. 2
Audience	p. 4
Purpose	p. 4
Examples	p. 4
Categories of Al	p. 5
Validation	p. 7
Statistics	p. 7
Validating Filtering and Predictive Systems	p. 8
Code: Strip Chart Display	p. 10
Validating Optimizations	p. 17
Validating Classification	p. 22
Code: Hinton Diagram Display	p. 28
And Beyond	p. 32
Computing Framework	p. 33
Architecture Overview	p. 34
Software Agents	p. 40
Distributed Computing	p. 44
Networking	p. 44
Code: Threads	p. 48
Code: Pipes	p. 51
Code: Sockets	p. 53
Code: Class Loader	p. 56
Remote Method Invocation	p. 59
Communication Language	p. 60
Control Systems	p. 63
Introduction: Reflexes	p. 64
Filtering	p. 65
Electronic RC Filters	p. 65
Convolution Filters	p. 66
Code: Convolution Filter	p. 68
Proportional-Integral-Derivative Control	p. 70
Code: Simplified Heater Process	p. 72
Fuzzy-Logic	p. 75
Crisp Boolean Logic	p. 75
Basic Fuzzy	p. 78
Code: Singleton Fuzzy Logic	p. 81
Code: Fuzzy Heater Controller	p. 89
Code: Fuzzy Logic	p. 94
Neural Reflexes	p. 101
Scripted Behavior	p. 103
Data-Driven Intelligence	p. 104
Finite State Machines	p. 105
Designing an FSM	p. 106
Table Driven FSM	p. 108
Code: Table-Driven FSM	p. 110
Code: FSM Library	p. 113
Code: Coin Box Revisited	p. 124
Markov Models	p. 131
Code: Markov Sentence Generation	p. 136
Frame-Based Intelligence and Chatbots	p. 140
Pattern Matching	p. 141
Scripts	p. 143
Frames and Agendas	p. 143
Discrete Searching	p. 145
Introduction	p. 146
Brute-Force Searching	p. 148
Depth-First	p. 148
Breadth-First	p. 149
Cheapest-First	p. 150
Bi-directional	p. 151
A* Search	p. 151
Code: A* Engine	p. 153
Code: A* Path Finding	p. 156
Code: A* Panel Nesting	p. 159
Two-Player Games	p. 162
Min-Max Search	p. 163
Alpha-Beta Pruning	p. 166
Code: Alpha-Beta Engine	p. 169
Code: Amoeba Game	p. 171
Searching State Space	p. 175
What is State Space?	p. 176
Reinforcement Learning	p. 176
Core Concepts: Temporal Difference Learning	p. 177
SARSA	p. 180
Off-Policy Q-Learning	p. 182
Eligiblity Traces	p. 182
Code: Continuous Control	p. 184
Representing State Space	p. 188
Map Decompositions	p. 188
Partioning Continuous Space	p. 189
Genetic Algorithms	p. 192
Encoding the Problem	p. 193
Breeding	p. 200
Mutation	p. 203
Evalutating Fitness	p. 205
Selection	p. 207
Thinking Logically	p. 209
Logic	p. 210
Zero Order	p. 210
First Order	p. 214
Second Order	p. 217
Using Logic	p. 218
Inference	p. 218
Proofs	p. 219
Unification	p. 222
Resolution	p. 223
Normalizing Sentences	p. 226
Proof by Resolution	p. 229
Code: Unifier	p. 230
Code: Backward Chaining	p. 237
Code: Forward Chaining	p. 242
Knowledge Representation	p. 245
Supervised Neural Networks	p. 249
Simulated Intelligence	p. 250
Neural Models	p. 251
Biological Neurons	p. 251
Code: Hodgkin-Huxley Neural Model	p. 253
Pulsed Neuron Computing	p. 256
Computational Neurons	p. 258
Perceptron	p. 261
Code: Perceptron	p. 262
Multiple Categories	p. 264
Multi-Layer Perceptron	p. 264
State Space	p. 266
Delta Rule	p. 266
Backpropagation	p. 267
Code: Backpropagation Character Recognition	p. 271
Momentum	p. 279
Normalization	p. 281
Filtering	p. 282
Scaling	p. 282
Z-Axis Normalization	p. 283
Binary Representations	p. 284
Softmax	p. 285
Associative Memory	p. 286
Bidirectional Associative Memory	p. 286
Code: Hopfield Network	p. 287
Advanced Concepts	p. 289
Time-Series	p. 289
Fuzzy-Neural	p. 290
Growing Networks	p. 291
Unsupervised Neural Networks	p. 293
Neurons Revisited	p. 294
Hebb	p. 294
Pattern Matching	p. 296
Self-Organizing Maps	p. 298
Basic Operation	p. 299
Code: RGB Map	p. 303
Network Variations	p. 308
Supervised	p. 308
Biologically Plausibility	p. 309
Growing Networks	p. 310
Elastic Networks for the Traveling Salesman Problem	p. 313
Code: Fast Elastic Net	p. 317
Document Processing	p. 321
Words	p. 321
Documents	p. 321
Hierarchy and Time	p. 322
Multi-Modal SOM	p. 323
Hierarchical SOM	p. 324
Time-Series	p. 326
References	p. 329
Index	p. 333
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