000 | 03271nam a2200541 i 4500 | ||
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001 | 6267535 | ||
003 | IEEE | ||
005 | 20220712204733.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151223s2012 maua ob 001 eng d | ||
020 |
_z9780262122962 _qprint |
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020 |
_a9780262301145 _qelectronic |
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020 |
_z0262301148 _qelectronic |
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035 | _a(CaBNVSL)mat06267535 | ||
035 | _a(IDAMS)0b000064818b458b | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aQ335 _b.L329 2012eb |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aLaird, John, _d1954- _923332 |
|
245 | 1 | 4 |
_aThe Soar cognitive architecture / _cJohn E. Laird. |
264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2012. |
|
264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2012] |
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300 |
_a1 PDF (xi, 374 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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500 | _aAC-SUB | ||
500 | _aCatBulkString:june.28.13 | ||
500 | _aCatMonthString:june.13 | ||
500 | _a"A Bradford Book." | ||
500 | _aMulti-User. | ||
504 | _aIncludes bibliographical references and index. | ||
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _aIn development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components. The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on PDF viewed 12/23/2015. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 0 |
_aSoftware architecture. _918140 |
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653 | _aMulti-User. | ||
655 | 0 |
_aElectronic books. _93294 |
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710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _923333 |
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710 | 2 |
_aMIT Press, _epublisher. _923334 |
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776 | 0 | 8 |
_iPrint version _z9780262122962 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267535 |
942 | _cEBK | ||
999 |
_c73188 _d73188 |