| 000 | 03277nam a2200553 i 4500 | ||
|---|---|---|---|
| 001 | 6267387 | ||
| 003 | IEEE | ||
| 005 | 20220712204649.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151223s2003 maua ob 001 eng d | ||
| 020 |
_a9780262271950 _qebook |
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| 020 |
_z0585349851 _qelectronic |
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| 020 |
_z9780585349855 _qelectronic |
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| 020 |
_z0262271958 _qelectronic |
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| 020 |
_z9780262517089 _qprint |
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| 035 | _a(CaBNVSL)mat06267387 | ||
| 035 | _a(IDAMS)0b000064818b43b7 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aQ335 _b.D724 1991eb |
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| 100 | 1 |
_aDrescher, Gary L., _eauthor. _922515 |
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| 245 | 1 | 0 |
_aMade-up minds : _ba constructivist approach to artificial intelligence / _cGary L. Drescher. |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc1991. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2003] |
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| 300 |
_a1 PDF (x, 220 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aArtificial intelligence series | |
| 502 | _aOutgrowth of the author's thesis (Ph. D.)--Massachusetts Institute of Technology. | ||
| 504 | _aIncludes bibliographical references (p. [215]-218) and index. | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aMade-Up Minds addresses fundamental questions of learning and concept invention by means of an innovative computer program that is based on the cognitive-developmental theory of psychologist Jean Piaget. Drescher uses Piaget's theory as a source of inspiration for the design of an artificial cognitive system called the schema mechanism, and then uses the system to elaborate and test Piaget's theory. The approach is original enough that readers need not have extensive knowledge of artificial intelligence, and a chapter summarizing Piaget assists readers who lack a background in developmental psychology. The schema mechanism learns from its experiences, expressing discoveries in its existing representational vocabulary, and extending that vocabulary with new concepts. A novel empirical learning technique, marginal attribution, can find results of an action that are obscure because each occurs rarely in general, although reliably under certain conditions. Drescher shows that several early milestones in the Piagetian infant's invention of the concept of persistent object can be replicated by the schema mechanism. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/23/2015. | ||
| 600 | 1 | 0 |
_aPiaget, Jean, _d1896-1980. _922516 |
| 650 | 0 |
_aConcept learning. _922517 |
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| 650 | 0 |
_aHuman information processing. _922146 |
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| 650 | 0 |
_aSchematism (Philosophy) _922518 |
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| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 655 | 0 |
_aElectronic books. _93294 |
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| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _922519 |
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| 710 | 2 |
_aMIT Press, _epublisher. _922520 |
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| 776 | 0 | 8 |
_iPrint version _z9780262517089 |
| 830 | 0 |
_aArtificial intelligence (Cambridge, Mass.) _922393 |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267387 |
| 942 | _cEBK | ||
| 999 |
_c73041 _d73041 |
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