AI - a Guide to Intelligent Systems.pdf - Member of EEPIS

INDEX
413
odds 67–8
posterior 68
prior 67
offspring chromosome, see child
chromosome
one-parent inheritence 138–40
operational database 350
operations of fuzzy sets 98–100
complement 98
containment 98–9
intersection 99, 109
union 100, 107
OPS 11, 30, 310
optical character recognition
323–4
optimisation 303, 336–9
OR 172
ordered crossover 337
output layer 175
output membership layer 272–3
overfitting 325
P
Papert, S. 13, 174
paradox of logic 89–90
Pythagorean School 89
Russell’s Paradox 89
parent chromosome 222–3
parent node 352
Parker, D. 13
partially mapped crossover 337
part-whole, see a-part-of
Pascal 30, 32, 121, 253
perceptron 6, 170–2
convergence theorem 6
learning rule 171–2
Phone Call Rule 308
Pitts, W. 5, 13, 19, 169, 213
plasticity 166
possibility theory 88
posterior odds 68
posterior probability 62
prediction 303, 328–31, 346–9
premise, see rule, antecedent
principle of dichotomy 89
principle of topographic map
formation 205
prior odds 67
prior probability 62
probabilistic OR 109, 273
probability 57–9
conditional 59
joint 59
posterior 62
prior 62
probability theory 57–61
procedure 133
production model 30–1
production rule 26–8
programmer 29–30
PROLOG 11, 19, 30, 310
PROSPECTOR 10–11, 12, 15, 19, 56, 65,
74, 82, 84
prototype 306
Pythagorean School 89
Pythagorean Theorem 247, 253
Q
query tool 351
R
reasoning 31
approximate 262–3
Bayesian 61–3, 65–72
data-driven 37–8, 309
evidential 74–80, 315–17
fuzzy 104–5
goal-driven 38–40
symbolic 34
Rechenberg, I. 14, 20, 242, 255
reciprocal exchange 338
recurrent neural network 188–9
reference super set, see universe of
discourse
reinforcement learning 13
reproduction 221
probability 225–6
root node 352
Rosenblatt, F. 6, 170, 171, 213
roulette wheel selection 225
Roussel, P. 19
rule 26–8
antecedent 26
consequent 26
rule-based expert system 30–3, 41–7,
50–1, 308–17
rule evaluation 107–10
rule extraction 263–8
rule-of-thumb 10, 33
rule table, see fuzzy rule table