chapter0.ps

收集了遗传算法、进化计算、神经网络、模糊系统、人工生命、复杂适应系统等相关领域近期的参考论文和研究报告

-0.03 (Angeline, P) 108 436 P
-0.03 (., Saunders, G. and Pollack, J. \0501994\051 Evolving Recurrent Neural Networks. In) 163.27 436 P
3 F
(The Thir) 144 421.5 T
(d Annual Confer) 185.21 421.5 T
(ence on Evolutionary Pr) 264.73 421.5 T
(ogramming \050EP94\051) 381.86 421.5 T
0 F
(.) 474.8 421.5 T
0.72 (Saunders, G., Angeline, P) 108 401 P
0.72 (. and Pollack, J. \0501994\051 Structural and Behavioral Evolution of) 233.07 401 P
(Recurrent Networks. In) 144 386.5 T
3 F
(Advances in Neural Information Pr) 259.9 386.5 T
(ocessing VI) 429.36 386.5 T
0 F
(.) 484.98 386.5 T
0.1 (Saunders, G., Kolen, J., Angeline, P) 108 366 P
0.1 (. and Pollack, J. \0501992\051 Additive Modular Learning in) 280.38 366 P
2.08 (Preemptrons. In) 144 351.5 P
3 F
2.08 (The Pr) 227.77 351.5 P
2.08 (oceedings of The Fourteenth Annual Confer) 262.39 351.5 P
2.08 (ence of the) 483.89 351.5 P
(Cognitive Science Society) 144 337 T
0 F
(, Bloomington, Indiana.) 267.12 337 T
2 F
(FIELDS OF STUDY) 270.69 275.5 T
0 F
(Major Field:) 126 239.5 T
(Computer and Information Science, Professor Jordan B. Pollack) 204 239.5 T
(Specialization: Arti\336cial Intelligence) 204 219.5 T
(Minor Field:) 126 193.5 T
(Parallel Processing, Professor P) 204 193.5 T
(. Sadayappan) 355.24 193.5 T
(Minor Field:) 126 163.5 T
(Cognitive Science, Professor Caroline Palmer) 204 163.5 T
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(vi) 319.33 73 T
108 90 540 648 R
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(T) 259.8 640 T
(ABLE OF CONTENTS) 266.91 640 T
(DEDICA) 108 582 T
(TION) 154.41 582 T
(ii) 533.33 582 T
(ACKNOWLEDGMENTS) 108 558 T
( iii) 527 558 T
(VIT) 108 534 T
(A) 128.44 534 T
( iv) 527.67 534 T
(LIST OF T) 108 510 T
(ABLES) 165.1 510 T
( x) 531.01 510 T
(LIST OF FIGURES) 108 486 T
( xi) 527.67 486 T
(LIST OF SYMBOLS) 108 462 T
( xvi) 521.67 462 T
(CHAPTER) 108 438 T
(P) 507.57 438 T
(AGE) 514.01 438 T
(I) 120.07 408 T
(INTRODUCTION: SEARCH AND EXPLICIT KNOWLEDGE) 140.4 408 T
( . . . . . . .) 470.74 408 T
( 1) 517.5 408 T
0 F
(1.1  Literal Knowledge Level Models) 140.4 386 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 326.82 386 T
( 2) 517.5 386 T
(1.2  The Problems of Explicit Knowledge) 140.4 372 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 344.81 372 T
( 4) 517.5 372 T
(1.2.1  Credit Assignment Problem) 162 358 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 329.82 358 T
( 5) 517.5 358 T
(1.2.2  The Knowledge Acquisition Bottleneck) 162 342 T
( . . . . . . . . . . . . . . . . . . . . .) 386.79 342 T
( 5) 517.5 342 T
(1.2.3  Memory \050Knowledge\051 Indexing Problem) 162 326 T
( . . . . . . . . . . . . . . . . . . . .) 392.78 326 T
( 6) 517.5 326 T
(1.2.4  The Problem of Scaling) 162 310 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 311.83 310 T
( 6) 517.5 310 T
(1.2.5  Representation Design) 162 294 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 305.83 294 T
( 7) 517.5 294 T
(1.3  The Root of the Problems) 140.4 278 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 290.84 278 T
( 7) 517.5 278 T
(1.4  Evolutionary Algorithms) 140.4 264 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 284.84 264 T
( 9) 517.5 264 T
(1.5  Emer) 140.4 250 T
(gent Intelligence) 187.15 250 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 272.85 250 T
( 10) 514.5 250 T
(1.6  Demonstrations of Emer) 140.4 236 T
(gent Intelligence) 279.09 236 T
( . . . . . . . . . . . . . . . . . . . . . . . . .) 362.8 236 T
( 1) 514.73 236 T
(1) 523.28 236 T
(1.7  Scope of this Dissertation) 140.4 222 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 290.84 222 T
( 12) 514.5 222 T
(1.8  Contributions of this W) 140.4 208 T
(ork) 274.04 208 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 293.84 208 T
( 13) 514.5 208 T
(1.9  A Guide to Reading this Dissertation) 140.4 194 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 344.81 194 T
( 14) 514.5 194 T
2 F
(II) 117.74 170 T
(BACKGROUND) 140.4 170 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 233.87 170 T
( 15) 514.5 170 T
0 F
(2.1  Search and Intelligence) 140.4 148 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 278.85 148 T
( 15) 514.5 148 T
(2.2  Optimization and Satis\336cing) 140.4 134 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 302.83 134 T
( 16) 514.5 134 T
(2.3  The Credit Assignment Problem) 140.4 120 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 320.82 120 T
( 17) 514.5 120 T
(2.4  W) 140.4 106 T
(eak and Strong Methods) 171.75 106 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 293.84 106 T
( 17) 514.5 106 T
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(2.4.1  W) 162 640 T
(eak Methods) 202.35 640 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 269.85 640 T
( 18) 514.5 640 T
(2.4.1.1  Generate and T) 194.4 624 T
(est) 306.47 624 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 323.82 624 T
( 19) 514.5 624 T
(2.4.1.2  Hill Climbing) 194.4 608 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 305.83 608 T
( 20) 514.5 608 T
(2.4.1.3  Depth First Search) 194.4 592 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 326.82 592 T
( 21) 514.5 592 T
(2.4.1.4  Breadth-First Search and Beam Search) 194.4 576 T
(. . . . . . . . . . . . . . .) 425.77 576 T
( 22) 514.5 576 T
(2.4.2  Principles of Standard W) 162 560 T
(eak Methods) 311.94 560 T
(. . . . . . . . . . . . . . . . . . . . . . .) 377.79 560 T
( 23) 514.5 560 T
(2.4.3  Representation of T) 162 544 T
(ask Environment in Strong Methods) 286.41 544 T
(. . . . . . . . .) 461.75 544 T
( 24) 514.5 544 T
(2.5  Evolutionary Algorithms) 140.4 528 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 284.84 528 T
( 25) 514.5 528 T
(2.5.1  Evolutionary Models) 162 514 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 296.84 514 T
( 27) 514.5 514 T
(2.5.2  The Selection of Surviving Objects) 162 498 T
(. . . . . . . . . . . . . . . . . . . . . . . . .) 365.8 498 T
( 28) 514.5 498 T
(2.5.3  V) 162 482 T
(ariations of the Evolutionary Algorithms) 199.31 482 T
( . . . . . . . . . . . . . . . . . . .) 398.78 482 T
( 30) 514.5 482 T
(2.5.3.1  Genetic Algorithms \050GA\051) 194.4 466 T
(. . . . . . . . . . . . . . . . . . . . . . . . . .) 359.8 466 T
( 31) 514.5 466 T
(2.5.3.2  Evolution Strategies \050ES\051) 194.4 450 T
(. . . . . . . . . . . . . . . . . . . . . . . . . .) 359.8 450 T
( 33) 514.5 450 T
(2.5.3.3  Evolutionary Programming \050EP\051) 194.4 434 T
(. . . . . . . . . . . . . . . . . . . .) 395.78 434 T
( 35) 514.5 434 T
(2.5.3.4  Genetic Programming \050GP\051) 194.4 418 T
(. . . . . . . . . . . . . . . . . . . . . . . .) 371.8 418 T
( 35) 514.5 418 T
(2.5.3.5  Comparing GA and GP) 194.4 402 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . .) 350.81 402 T
( 37) 514.5 402 T
(2.5.3.5.1  Representation of Genotypes) 234 386 T
(. . . . . . . . . . . . . . .) 425.77 386 T
( 37) 514.5 386 T
(2.5.3.5.2  Complexity of Interpretation) 234 370 T
(. . . . . . . . . . . . . . .) 425.77 370 T
( 38) 514.5 370 T
(2.5.3.5.3  Syntax Preserving Crossover) 234 354 T
(. . . . . . . . . . . . . . .) 425.77 354 T
( 39) 514.5 354 T
(2.6  When is a W) 140.4 338 T
(eak Method Not W) 222.71 338 T
(eak?) 314.02 338 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 341.81 338 T
( 40) 514.5 338 T
2 F
(III) 115.4 314 T
(THE EV) 140.4 314 T
(OLUTIONAR) 185.15 314 T
(Y WEAK METHOD AND EMERGENT) 258.69 314 T
(INTELLIGENCE) 140.4 302 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 236.87 302 T
( 41) 514.5 302 T
0 F
(3.1  Empirical Credit Assignment) 140.4 280 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 305.83 280 T
( 41) 514.5 280 T
(3.1.1  Representation Speci\336c Operators) 162 266 T
(. . . . . . . . . . . . . . . . . . . . . . . . . .) 359.8 266 T
( 42) 514.5 266 T
(3.1.2  Abstract Feature Propagation) 162 250 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 335.82 250 T
( 43) 514.5 250 T
(3.1.2.1  Schema Theory) 194.4 234 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 314.83 234 T
( 45) 514.5 234 T
(3.1.2.2  Abstract Features) 194.4 218 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 320.82 218 T
( 46) 514.5 218 T
(3.1.3  The Strength of Reproduction) 162 202 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 338.81 202 T
( 50) 514.5 202 T
(3.2  Emer) 140.4 186 T
(gent Intelligence) 187.15 186 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 272.85 186 T
( 51) 514.5 186 T
(3.2.1  Emer) 162 172 T
(gence and Emer) 217.74 172 T
(gent Computation) 294.79 172 T
( . . . . . . . . . . . . . . . . . . . . .) 386.79 172 T
( 51) 514.5 172 T
(3.2.1.1  Emer) 194.4 156 T
(gence and Emer) 259.14 156 T
(gent Properties) 336.19 156 T
(. . . . . . . . . . . . . . . . .) 413.77 156 T
( 53) 514.5 156 T
(3.2.1.2  Emer) 194.4 140 T
(gent Computation) 259.14 140 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . .) 350.81 140 T
( 55) 514.5 140 T
(3.2.2  Emer) 162 124 T
(gent Intelligence: The V) 217.74 124 T
(ery Idea) 333.33 124 T
(. . . . . . . . . . . . . . . . . . . . . . .) 377.79 124 T
( 56) 514.5 124 T
(3.2.2.1  Necessity of Interaction with the T) 194.4 108 T
(ask Environment) 399.42 108 T
(. . . . .) 485.73 108 T
( 57) 514.5 108 T
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(3.2.2.2  T) 194.4 640 T
(ask-Speci\336c vs Representation-Speci\336c Knowledge) 239.87 640 T
(. . . .) 491.73 640 T
( 57) 514.5 640 T
(3.2.2.3  The Role of the Observer in Emer) 194.4 624 T
(gent Intelligence) 396.37 624 T
(. . . . . .) 479.74 624 T
( 57) 514.5 624 T
(3.2.2.4  Non-referential Symbols and Representations) 194.4 608 T
(. . . . . . . . . .) 455.75 608 T
( 58) 514.5 608 T
(3.2.2.5  A Comparison Between EI and AI) 194.4 592 T
( . . . . . . . . . . . . . . . . . .) 404.78 592 T
( 58) 514.5 592 T
(3.2.3  Review of Related Approaches) 162 576 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 344.81 576 T
( 60) 514.5 576 T
(3.2.3.1  Society of Mind) 194.4 560 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 314.83 560 T
( 60) 514.5 560 T
(3.2.3.2  Embodiment) 194.4 544 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 299.83 544 T
( 60) 514.5 544 T
(3.2.3.3  Situated Action) 194.4 528 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 311.83 528 T
( 61) 514.5 528 T
(3.3  Innate Emer) 140.4 512 T
(gent Intelligence in Genetic Programming) 220.12 512 T
(. . . . . . . . . . . . . . .) 425.77 512 T
( 62) 514.5 512 T
(3.3.1  Emer) 162 498 T
(gence of Introns) 217.74 498 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 299.83 498 T
( 62) 514.5 498 T
(3.3.2  Emer) 162 482 T
(gent Diploidy and Dominance) 217.74 482 T
(. . . . . . . . . . . . . . . . . . . . . . . . .) 365.8 482 T
( 63) 514.5 482 T
(3.4  Demonstrations of Emer) 140.4 466 T
(gent Intelligence) 279.09 466 T
( . . . . . . . . . . . . . . . . . . . . . . . . .) 362.8 466 T
( 64) 514.5 466 T
2 F
(IV) 115.74 442 T
(THE EMERGENCE OF T) 140.4 442 T
(ASK-SPECIFIC STRUCTURES) 277.12 442 T
(. . . . . . . . . . .) 449.75 442 T
( 65) 514.5 442 T
0 F
(4.1  Connectionist Architectures) 140.4 420 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 299.83 420 T
( 65) 514.5 420 T
(4.2  The Complete Network Induction Problem) 140.4 406 T
(. . . . . . . . . . . . . . . . . . . . . . . .) 371.8 406 T
( 68) 514.5 406 T
(4.3  Evolving Connectionist Networks) 140.4 392 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 329.82 392 T
( 69) 514.5 392 T
(4.3.1  Evolving Networks with Genetic Algorithms) 162 378 T
(. . . . . . . . . . . . . . . . .) 413.77 378 T
( 69) 514.5 378 T
(4.3.2  Network Induction with Evolutionary Programming) 162 362 T
( . . . . . . . . . . .) 446.75 362 T
( 73) 514.5 362 T
(4.4  The GNARL Algorithm) 140.4 346 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 281.85 346 T
( 75) 514.5 346 T
(4.4.1  Selection, Reproduction and Mutation of Networks) 162 332 T
(. . . . . . . . . . . .) 443.76 332 T
( 76) 514.5 332 T
(4.4.1.1  Severity of Mutations) 194.4 316 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 341.81 316 T
( 78) 514.5 316 T
(4.4.1.2  Parametric Mutation of Networks) 194.4 300 T
( . . . . . . . . . . . . . . . . . . .) 398.78 300 T
( 78) 514.5 300 T
(4.4.1.3  Structural Mutation of Networks) 194.4 284 T
(. . . . . . . . . . . . . . . . . . . .) 395.78 284 T
( 79) 514.5 284 T
(4.4.2  Fitness of a Network) 162 268 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 296.84 268 T
( 80) 514.5 268 T
(4.5  Experiments.) 140.4 252 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 230.87 252 T
( 81) 514.5 252 T
(4.5.1  Inducing Regular Languages) 162 238 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 335.82 238 T
( 81) 514.5 238 T
(4.5.2  The Ant Problem) 162 222 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 278.85 222 T
( 86) 514.5 222 T
(4.6  Discussion) 140.4 206 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 218.88 206 T
( 94) 514.5 206 T
(4.7  Conclusion) 140.4 192 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 221.88 192 T
( 95) 514.5 192 T
2 F
(V) 118.07 168 T
(THE EMERGENCE OF T) 140.4 168 T
(ASK-DIRECTED COMPONENT) 277.12 168 T
(MANIPULA) 140.4 156 T
(TION) 205.46 156 T
( . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 242.87 156 T
( 96) 514.5 156 T
0 F
(5.1  Evolving Finite State Machines) 140.4 134 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 317.83 134 T
( 96) 514.5 134 T
(5.2  Freezing and Unfreezing Representational Components) 140.4 120 T
(. . . . . . . . . . . . . .) 431.76 120 T
( 98) 514.5 120 T
(5.3  Experiments) 140.4 106 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 227.88 106 T
( 99) 514.5 106 T
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(5.4  Results and Discussion) 140.4 640 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 275.85 640 T
( 100) 511.51 640 T
(5.5  Conclusion) 140.4 626 T
(. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .) 221.88 626 T
( 103) 511.51 626 T
2 F
(VI) 115.74 602 T
(THE EMERGENCE OF MODULAR SOLUTIONS AND HIGH-LEVEL) 140.4 602 T