logica de lo preconciente aportes a la primera topica - Asociación ...

More documents

Recommendations

Info

Pablo D. Slemenson“Lógica de lo preconciente”robustness, low solution cost, and better rapport with reality. In the main, FL, NC, EC,and PC are complementary rather than competitive. For this reason, it is frequentlyadvantageous to use FL, NC, EC, and PC in combination rather than exclusively,leading to so-called "hybrid intelligent systems." At this juncture, the most visiblesystems of this type are neuro-fuzzy systems. We are also beginning to see fuzzygenetic,neuro-genetic, and neuro-fuzzy-genetic systems. Such systems are likely tobecome ubiquitous in the not-distant future. In coming years, the ubiquity of intelligentsystems is certain to have a profound impact on the ways in which man-made systemsare conceived, designed, manufactured, employed, and interacted with. This is theperspective in which the basic issues relating to soft computing and intelligent systemsare addressed in my lecture.Toward a Computational Theory of Perceptions Based on Computing with Words(Professor Lotfi A. Zadeh)(ARO) DAAH 04-961-0341, Berkeley Initiative on Soft Computing, British Telecom,(LLNL) B-291525, (NASA) NAC2-1177, and (ONR) N00014-96-1-0556Humans have a remarkable capability for performing a wide variety of physical andmental tasks without any measurements and any computations. Familiar examples ofsuch tasks are: parking a car, driving in heavy traffic, playing golf, assessing wine,recognizing distorted speech, and summarizing a story. Underlying this capability is thebrain's crucial ability to manipulate perceptions--perceptions of distance, size, weight,time, force, color, direction, number, similarity, number, likelihood, and truth, amongothers. One of the basic aims of science has been and continues to be that ofprogressing from perceptions to measurements. Pursuit of this goal has led to brilliantsuccesses. We have sent men to the moon; we can build computers that are capable ofperforming billions of computations per second; we have constructed telescopes thatcan explore the far reaches of the universe; and we can date the age of rocks that aremillions of years old. But alongside the brilliant successes stand conspicuousunderachievements and outright failures. We cannot build robots that can move withthe agility of animals or humans; we cannot automate driving in heavy traffic; wecannot translate from one language to another at the level of a human interpreter; wecannot create programs that can summarize non-trivial stories; our ability to model thebehavior of economic systems leaves much to be desired; and we cannot buildApendice 318
Pablo D. Slemenson“Lógica de lo preconciente”machines that can compete with children in the performance of a wide variety ofphysical and cognitive tasks. It may be argued that underlying the failures is theunavailability of a methodology for reasoning and computing with perceptions ratherthan measurements. An outline of such a methodology--referred to as a computationaltheory of perceptions--is put forth in our work. The computational theory ofperceptions, or CTP for short, is based on the methodology of computing with words(CW). In CTP, words play the roles of labels of perceptions and, more generally,perceptions are expressed as propositions in a natural language. CW-based techniquesare employed to translate propositions expressed in a natural language into what iscalled the generalized constraint language (GCL). In this language, the meaning of aproposition is expressed as a generalized constraint, X isr R, where X is the constrainedvariable, R is the constraining relation, and isr is a variable copula in which r is avariable whose value defines the way in which R constrains X. Among the basic typesof constraints are: equality, possibilistic, veristic, probabilistic, random set, Pawlak set,fuzzy graph, and usuality. The wide variety of constraints in GCL makes GCL a muchmore expressive language than the language of predicate logic. In CW, the initial andterminal data sets, IDS and TDS, are assumed to consist of propositions expressed in anatural language. These propositions are translated, respectively, into antecedent andconsequent constraints. The consequent constraints are derived from the antecedentconstraints through the use of rules of constraint propagation. The principal constraintpropagation rule is the generalized extension principle. At this juncture, thecomputational theory of perceptions is in its initial stages of development. In time, itmay come to play an important role in the conception, design, and utilization ofinformation/intelligent systems.Apendice 319
Page 1:
UNIVERSIDAD NACIONAL DE LA MATANZAS
Page 4 and 5:
Pablo D. Slemenson“Lógica de lo
Page 6 and 7:
Page 9 and 10:
Page 11 and 12:
Page 13:
Page 16 and 17:
Page 18 and 19:
Page 20 and 21:
Page 22 and 23:
Page 24 and 25:
Page 26 and 27:
Page 28 and 29:
Page 30 and 31:
Page 32 and 33:
Page 34 and 35:
Page 36 and 37:
Page 38 and 39:
Page 40 and 41:
Page 42 and 43:
Page 44 and 45:
Page 46 and 47:
Page 48 and 49:
Page 50 and 51:
Page 52 and 53:
Page 54 and 55:
Page 56 and 57:
Page 58 and 59:
Page 60 and 61:
Page 62 and 63:
Page 64 and 65:
Page 66 and 67:
Page 68 and 69:
Page 70 and 71:
Page 72 and 73:
Page 74 and 75:
Page 76 and 77:
Page 78 and 79:
Page 80 and 81:
Page 82 and 83:
Page 84 and 85:
Page 86 and 87:
Page 88 and 89:
Page 90 and 91:
Page 92 and 93:
Page 94 and 95:
Page 96 and 97:
Page 98 and 99:
Page 100 and 101:
Page 102 and 103:
Page 104 and 105:
Page 106 and 107:
Page 108 and 109:
Page 110 and 111:
Page 112 and 113:
Page 114 and 115:
Page 116 and 117:
Page 118 and 119:
Page 120 and 121:
Page 122 and 123:
Page 124 and 125:
Page 126 and 127:
Page 128 and 129:
Page 130 and 131:
Page 132 and 133:
Page 134 and 135:
Page 136 and 137:
Page 138 and 139:
Page 140 and 141:
Page 142 and 143:
Page 144 and 145:
Page 146 and 147:
Page 148 and 149:
Page 150 and 151:
Page 152 and 153:
Page 154 and 155:
Page 156 and 157:
Page 158 and 159:
Page 160 and 161:
Page 162 and 163:
Page 164 and 165:
Page 166 and 167:
Page 168 and 169:
Page 170 and 171:
Page 172 and 173:
Page 174 and 175:
Page 176 and 177:
Page 178 and 179:
Page 180 and 181:
Page 182 and 183:
Page 184 and 185:
Page 186 and 187:
Page 188 and 189:
Page 190 and 191:
Page 192 and 193:
Page 194 and 195:
Page 196 and 197:
Page 198 and 199:
Page 200 and 201:
Page 202 and 203:
Page 204 and 205:
Page 206 and 207:
Page 208 and 209:
Page 210 and 211:
Page 212 and 213:
Page 214 and 215:
Page 216 and 217:
Page 218 and 219:
Page 220 and 221:
Page 222 and 223:
Page 224 and 225:
Page 226 and 227:
Page 228 and 229:
Page 230 and 231:
Page 232 and 233:
Page 234 and 235:
Page 236 and 237:
Page 238 and 239:
Page 240 and 241:
Page 242 and 243:
Page 244 and 245:
Page 246 and 247:
Page 248 and 249:
Page 250 and 251:
Page 252 and 253:
Page 254 and 255:
Page 257 and 258:
Page 259 and 260:
Page 261:
Page 264 and 265:
Page 266 and 267:
Page 268 and 269: Pablo D. Slemenson“Lógica de lo
Page 293: Pablo D. Slemenson“Lógica de lo
show all

logica de lo preconciente aportes a la primera topica - Asociación ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?