Knowledge (XXG)

Conceptual space

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525: 492: 221:. In the more general formulations of the theory, concepts are defined in terms conceptual similarity to their prototypes. Conceptual spaces have found applications in both 215: 195: 175: 155: 135: 115: 217:
is also likely to belong to the category. The notion of concept convexity allows the interpretation of the focal points of regions as category
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Kriegeskorte, N., & Kievit, R. A. (2013). Representational geometry: Integrating cognition, computation, and the brain.
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Chella, A., & Frixione, M., & Gaglio, S.; (1997). A Cognitive Architecture for Artificial Vision.
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library: studies in epistemology, logic, methodology, and philosophy of science. Vol. 359. Cham:
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Applications of conceptual spaces: the case for geometric knowledge representation
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denote concepts. The theory of conceptual spaces is a theory about
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Foo, N. (2001). Conceptual Spaces—The Geometry of Thought.
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Geometry of meaning: semantics based on conceptual spaces
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is a geometric structure that represents a number of
408: 209: 189: 169: 149: 129: 109: 78:. It is motivated by notions such as conceptual 560: 89:The theory also puts forward the notion that 8: 508:http://doi.org/10.1016/S0004-3702(96)00039-2 567: 553: 411:Conceptual spaces: the geometry of thought 393:http://doi.org/10.1016/j.tics.2013.06.007 202: 182: 162: 142: 122: 102: 97:regions in conceptual spaces. In that if 330: 7: 521: 519: 137:are elements of a category, and if 539:. You can help Knowledge (XXG) by 25: 60:three ordinary spatial dimensions 523: 389:Trends in Cognitive Sciences, 17 1: 491:(1), 139–140. Retrieved from 455:. Cambridge, Massachusetts: 415:. Cambridge, Massachusetts: 259:Conceptual dependency theory 504:Artificial Intelligence, 89 612: 518: 62:. In a conceptual space, 264:Distributional semantics 304:Similarity (philosophy) 284:Global workspace theory 274:Formal concept analysis 227:artificial intelligence 535:-related article is a 244:Cognitive architecture 239:Categorical perception 211: 191: 171: 151: 131: 111: 254:Commonsense reasoning 212: 192: 172: 152: 132: 112: 201: 181: 161: 141: 121: 101: 66:denote objects, and 223:cognitive modelling 591:Semantic relations 314:Vector space model 207: 187: 167: 147: 127: 107: 74:first proposed by 548: 547: 449:Gärdenfors, Peter 405:Gärdenfors, Peter 345:Gärdenfors, Peter 210:{\displaystyle z} 190:{\displaystyle y} 170:{\displaystyle x} 150:{\displaystyle z} 130:{\displaystyle y} 110:{\displaystyle x} 18:Conceptual Spaces 16:(Redirected from 603: 596:Psychology stubs 569: 562: 555: 527: 520: 510: 500: 494: 485: 479: 478: 445: 439: 438: 414: 401: 395: 385: 379: 378: 340: 216: 214: 213: 208: 196: 194: 193: 188: 176: 174: 173: 168: 156: 154: 153: 148: 136: 134: 133: 128: 116: 114: 113: 108: 84:prototype theory 76:Peter Gärdenfors 72:concept learning 29:conceptual space 21: 611: 610: 606: 605: 604: 602: 601: 600: 576: 575: 574: 573: 516: 514: 513: 501: 497: 489:AI Magazine, 22 486: 482: 467: 447: 446: 442: 427: 403: 402: 398: 386: 382: 367: 357:Springer-Verlag 347:, eds. (2015). 343:Zenker, Frank; 342: 341: 332: 327: 279:Frame semantics 235: 199: 198: 179: 178: 159: 158: 139: 138: 119: 118: 99: 98: 93:categories are 23: 22: 15: 12: 11: 5: 609: 607: 599: 598: 593: 588: 578: 577: 572: 571: 564: 557: 549: 546: 545: 528: 512: 511: 495: 480: 465: 440: 425: 396: 391:(8), 401–412. 380: 366:978-3319150208 365: 329: 328: 326: 323: 322: 321: 316: 311: 306: 301: 299:Semantic space 296: 294:Phonetic space 291: 286: 281: 276: 271: 266: 261: 256: 251: 246: 241: 234: 231: 206: 186: 166: 146: 126: 106: 24: 14: 13: 10: 9: 6: 4: 3: 2: 608: 597: 594: 592: 589: 587: 584: 583: 581: 570: 565: 563: 558: 556: 551: 550: 544: 542: 538: 534: 529: 526: 522: 517: 509: 506:(1), 73–111. 505: 499: 496: 493: 490: 484: 481: 476: 472: 468: 466:9780262026789 462: 458: 454: 450: 444: 441: 436: 432: 428: 422: 418: 413: 412: 406: 400: 397: 394: 390: 384: 381: 376: 372: 368: 362: 358: 354: 350: 346: 339: 337: 335: 331: 324: 320: 317: 315: 312: 310: 307: 305: 302: 300: 297: 295: 292: 290: 287: 285: 282: 280: 277: 275: 272: 270: 267: 265: 262: 260: 257: 255: 252: 250: 247: 245: 242: 240: 237: 236: 232: 230: 228: 224: 220: 204: 184: 164: 144: 124: 104: 96: 92: 87: 85: 81: 77: 73: 69: 65: 61: 57: 53: 49: 45: 41: 37: 34: 30: 19: 541:expanding it 530: 515: 503: 498: 488: 483: 452: 443: 410: 399: 388: 383: 348: 319:Visual space 289:Image schema 90: 88: 67: 63: 28: 26: 309:State space 249:Color space 157:is between 52:temperature 580:Categories 533:psychology 426:0262071991 269:Face space 219:prototypes 80:similarity 58:, and the 36:dimensions 586:Cognition 475:854541601 457:MIT Press 417:MIT Press 375:907771045 451:(2014). 435:42389577 407:(2000). 353:Synthese 233:See also 197:, then 91:natural 68:regions 33:quality 473:  463:  433:  423:  373:  363:  95:convex 64:points 40:weight 531:This 325:Notes 56:pitch 48:taste 44:color 537:stub 471:OCLC 461:ISBN 431:OCLC 421:ISBN 371:OCLC 361:ISBN 225:and 177:and 117:and 82:and 582:: 469:. 459:. 429:. 419:. 369:. 359:. 351:. 333:^ 229:. 86:. 54:, 50:, 46:, 42:, 27:A 568:e 561:t 554:v 543:. 477:. 437:. 377:. 205:z 185:y 165:x 145:z 125:y 105:x 20:)

Index

Conceptual Spaces
quality
dimensions
weight
color
taste
temperature
pitch
three ordinary spatial dimensions
concept learning
Peter Gärdenfors
similarity
prototype theory
convex
prototypes
cognitive modelling
artificial intelligence
Categorical perception
Cognitive architecture
Color space
Commonsense reasoning
Conceptual dependency theory
Distributional semantics
Face space
Formal concept analysis
Frame semantics
Global workspace theory
Image schema
Phonetic space
Semantic space

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