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Neuron, 60-62, 155 |
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Newell, A., 44 |
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Nonlinearity, 2, 5, 35, 39, 57, 136, 138-39, 160, 164. See also Local optimum; Epistasis; Obstacles to adaptation |
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Nonstationarity, 35, 57, 168-69 |
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Observed best, 75, 77, 87-88, 124-25, 129, 140 |
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Obstacles to adaptation, 2, 5-6, 9-11, 13-14, 65, 66, 75, 123, 140, §9.1; |
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examples of, ch. 3. |
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See also Epistasis; Local optimum; Nonlinearity; Nonstationarity |
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Operator, §1.2, §2.1, 92-93, 152, 157; |
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examples of, ch. 3; |
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genetic, 14-18, 33, §6.2, §6.3, §6.4, §6.5, 121-22, 127-28, 140, 152, 157, 161, 167-68, 169-70; |
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losses, 103, 110-11, 125-27, 140 |
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Operon, 117-18 (df.), 153-55 |
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Optimization, 1, 4, 19, 38-39, 54-55, 57, 75-76, 90, 120, 123, 140, 160-61. See also Function optimization |
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Parallelism, 174, 178, 192, 197 |
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Parallel operation, §§8.2-8.4 See also Intrinsic parallelism |
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Pattern recognition, §1.3, §3.4, 63, 132, 155-56, 162-63 |
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Payoff, 25 (df.), 26-27, 40, 42, 76, 132, 160, 165, 166, 172, 177. See also Performance measure |
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Payoff-only plan, 26, 29 (df.), 39, 42, 132 |
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Performance measure, §1.2, 8, 12, 18, 66, 69, 74, 75, 87-88, 124, 139-40, 159-61, 168-69; |
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examples of, ch. 3. |
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See also Criterion; Fitness; Payoff; Utility |
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Permutation, 107-8, 127 |
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Phase space, 54 (df.). See also Control |
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Phenotype, 10 (df.), 11-12, 33-34, 160 |
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Plum, T. W.-S., 155 |
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Policy. See Control policy |
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Population: |
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as a data base, 73-74, 87-88, 91, 92-93, 95, 96, 99-100, 103-4, 110, 125-27, 133, 139-40, 156, 160; |
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biological, 12-15, 33-35, 136, 139, 161-62, 165-66, 168-69 |
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Prediction, 48, 50-52, 56, 63, 143, 153, 155-56, 161. See also Lookahead; Model |
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Probability distribution, 15, 24, 28, 30-31, 68, 70, 77, 87, 92. See also Sampling |
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Program, economic, 36 (df.)-38 |
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Punctuation, 144, 149-50, 152, 157, 168 |
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Quasi-homomorphism. See Default hierarchy |
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Queue, 165-66 |
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r selection, 166 |
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Random variable. See Sampling; Schemata |
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Ranking, 73-74, 87-88, 96, 103-4, 105, 139-40, 160, 169 |
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Rankings, storage. See Storage, of rankings |
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Recombination, 180, 191, 197, 198. See also Crossing over |
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Representation: examples of, 66-67, 106-7, 109, 112-13, 116, 148-52; |
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homologous, 109 (df.); |
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via broadcast language, 141, §§8.2-8.4, 167-68; |
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via detectors, 57, 66 (df.)-71, 74, 89, 98, 131, 140, §8.1 |
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Reproductive plan. See Adaptive plan, reproductive |
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Resource renewal rate, 165-66, 168 |
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Riolo, R. L., 180, 181 |
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Robustness, 17-19, 27, 34-35, 121, 124-25; |
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examples of, §7.3, §7.4. |
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See also Criterion |
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Rosenberg, R. S., 161 |
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Rule discovery, 179-181 |
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Sample space. See Sampling |
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Sampling, 49-50, 68-73, 75-77, 140, 160; |
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of a, 8, 12, 23-24, 66, 74, 90-94, 124; |
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of schemata, 71-73, 75, 85-88, 98-99, 127, 128-30, 139-40, 157, 160-61; |
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of several random variables, §5.1, §5.3 |
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Sampling procedure. See Adaptive plan |
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Samuel, A. L., 17, 40, 42, 43, 44, 132, 196 |
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Santa Fe Institute, x, 184, 185 |
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Savage, L. J., 30-31 |
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Schema: |
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length of, 102 (df.)-3, 108, 129; |
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defining positions of, 72 (df.), 125, 165 |
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Schemata, 19, 68 (df.), ch. 4. §8.1, 157, 160-61; |
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and coadaptation, 89, 119, |
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