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Ludics

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317:-style interpretation of propositions, says that the meaning of a proposition arises from its introduction and elimination rules. Focalization refines this viewpoint by distinguishing between positive propositions, whose meaning arises from their introduction rules, and negative propositions, whose meaning arises from their elimination rules. In focused calculi, it is possible to define positive connectives by giving only their introduction rules, with the shape of the elimination rules being forced by this choice. (Symmetrically, negative connectives can be defined in focused calculi by giving only the elimination rules, with the introduction rules forced by this choice.) 63: 22: 165: 328:
interpretation of propositions to give them constructive content. For example, a realizer for the proposition "A implies B" is a computable function that takes a realizer for A, and uses it to compute a realizer for B. Realizability models characterize realizers for propositions in terms of their
321: 342:, given a computational system with nontermination and error stops as effects, realizability and focalization give the same meaning to types. 364:
at the time of its writing. And, thus, it offers to readers the possibility to understand ludics independently of their backgrounds.
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The primary achievement of ludics is the discovery of a relationship between two natural, but distinct notions of
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and proof behaviours by following the paradigm of interactive computation, similarly to what is done in
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of propositions, takes the view that we fix a computational system up front, and then give a
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and focusing on their concrete uses—that is distinct occurrences—it provides an
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visible behavior, and not in terms of their internal structure.
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The first view, which might be termed the proof-theoretic or
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to which it is closely related. By abstracting the notion of
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The second view, which might be termed the computational or
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Locus solum: from the rules of logic to the logic of rules
87:. Unsourced material may be challenged and removed. 378:: from the rules of logic to the logic of rules 279:More precisely, ludics tries to retrieve known 8: 186:. There might be a discussion about this on 382:Mathematical Structures in Computer Science 244:is an analysis of the principles governing 50:Learn how and when to remove these messages 322:Brouwer–Heyting–Kolmogorov interpretation 224:Learn how and when to remove this message 206:Learn how and when to remove this message 147:Learn how and when to remove this message 7: 260:(invented by the computer scientist 85:adding citations to reliable sources 14: 31:This article has multiple issues. 352:. His paper introducing ludics, 163: 61: 20: 72:needs additional citations for 39:or discuss these issues on the 1: 345:Ludics was proposed by the 424: 394:(a wiki about Locus Solum) 392:Carnegie-Mellon University 384:, 11, 301–506, 2001. 299:, as loci can be seen as 272:over a base instead of 332:Girard shows that for 388:Girard reading group 176:confusing or unclear 81:improve this article 281:logical connectives 184:clarify the article 408:Mathematical logic 358:mathematical logic 310:, or proposition. 264:), and its use of 262:Jean-Marc Andreoli 250:mathematical logic 234: 233: 226: 216: 215: 208: 157: 156: 149: 131: 54: 415: 362:Jean-Yves Girard 350:Jean-Yves Girard 297:computer science 229: 222: 211: 204: 200: 197: 191: 167: 166: 159: 152: 145: 141: 138: 132: 130: 89: 65: 57: 46: 24: 23: 16: 423: 422: 418: 417: 416: 414: 413: 412: 398: 397: 373:Girard, J.-Y., 370: 293:abstract syntax 246:inference rules 230: 219: 218: 217: 212: 201: 195: 192: 181: 168: 164: 153: 142: 136: 133: 90: 88: 78: 66: 25: 21: 12: 11: 5: 421: 419: 411: 410: 400: 399: 396: 395: 385: 369: 368:External links 366: 285:game semantics 232: 231: 214: 213: 171: 169: 162: 155: 154: 69: 67: 60: 55: 29: 28: 26: 19: 13: 10: 9: 6: 4: 3: 2: 420: 409: 406: 405: 403: 393: 389: 386: 383: 379: 377: 372: 371: 367: 365: 363: 359: 355: 351: 348: 343: 341: 338: 335: 330: 327: 326:realizability 323: 318: 316: 311: 309: 304: 302: 298: 294: 290: 286: 282: 277: 275: 271: 267: 263: 259: 255: 251: 247: 243: 239: 228: 225: 210: 207: 199: 189: 188:the talk page 185: 179: 177: 172:This article 170: 161: 160: 151: 148: 140: 129: 126: 122: 119: 115: 112: 108: 105: 101: 98: â€“  97: 93: 92:Find sources: 86: 82: 76: 75: 70:This article 68: 64: 59: 58: 53: 51: 44: 43: 38: 37: 32: 27: 18: 17: 381: 375: 353: 344: 340:linear logic 334:second-order 331: 319: 312: 305: 278: 274:propositions 269: 265: 258:focalisation 257: 253: 241: 238:proof theory 235: 220: 202: 193: 182:Please help 173: 143: 134: 124: 117: 110: 103: 91: 79:Please help 74:verification 71: 47: 40: 34: 33:Please help 30: 376:Locus solum 303:on memory. 178:to readers 107:newspapers 36:improve it 266:locations 42:talk page 402:Category 380:(.pdf), 347:logician 301:pointers 289:formulae 254:focusing 196:May 2012 137:May 2012 96:"Ludics" 315:Gentzen 174:may be 121:scholar 337:affine 242:ludics 123:  116:  109:  102:  94:  128:JSTOR 114:books 308:type 295:for 270:loci 100:news 390:at 268:or 256:or 248:of 236:In 83:by 404:: 276:. 240:, 45:. 227:) 221:( 209:) 203:( 198:) 194:( 190:. 180:. 150:) 144:( 139:) 135:( 125:· 118:· 111:· 104:· 77:. 52:) 48:(

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improve it
talk page
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verification
improve this article
adding citations to reliable sources
"Ludics"
news
newspapers
books
scholar
JSTOR
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confusing or unclear
clarify the article
the talk page
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Learn how and when to remove this message
proof theory
inference rules
mathematical logic
Jean-Marc Andreoli
propositions
logical connectives
game semantics
formulae
abstract syntax
computer science
pointers

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