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| 001 | ocn744636710 | ||
| 003 | OCoLC | ||
| 005 | 20240829143325.0 | ||
| 006 | m d | ||
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| 008 | 110803s2012 ne a ob 001 0 eng d | ||
| 010 | _a 2011005844 | ||
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| 020 | _a9781283133951 | ||
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_aQA76.9.A43 _bE34 2012 |
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_a005.1/1 _222 |
| 049 | _aMAIN | ||
| 100 | 1 |
_aEdelkamp, Stefan. _922211 |
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| 245 | 1 | 0 |
_aHeuristic search : _btheory and applications / _cStefan Edelkamp, Stefan Schrödl. |
| 260 |
_aAmsterdam ; _aBoston : _bElsevier/Morgan Kaufmann, _c©2012. |
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_a1 online resource (xxiv, 836 pages) : _billustrations |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 520 | _aSearch has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as pattern databases and search with efficient use of external memory and parallel processing units on main boards and graphics cards are detailed. Heuristic search as a problem solving tool is demonstrated in applications for puzzle solving, game playing, constraint satisfaction and machine learning. While no previous familiarity with heuristic search is necessary the reader should have a basic knowledge of algorithms, data structures, and calculus. Real-world case studies and chapter ending exercises help to create a full and realized picture of how search fits into the world of artificial intelligence and the one around us. Provides real-world success stories and case studies for heuristic search algorithms. Includes many AI developments not yet covered in textbooks such as pattern databases, symbolic search, and parallel processing units. | ||
| 505 | 0 | _aHeuristic search primer. Introduction -- Basic search algorithms -- Dictionary data structures -- Automatically created heuristics -- Heuristic search under memory constraints. Linear-space search -- Memory-restricted search -- Symbolic search -- External search -- Heuristic search under time constraints. Distributed search -- State space pruning -- Real-time search -- Heuristic search variants. Adversary search -- Constraint search -- Selective search -- Heurstic search applications. Action planning -- Automated system verification -- Vehicle navigation -- Computational biology -- Robotics. | |
| 504 | _aIncludes bibliographical references and index. | ||
| 588 | 0 | _aPrint version record. | |
| 546 | _aEnglish. | ||
| 590 | _aAdded to collection customer.56279.3 | ||
| 650 | 0 |
_aHeuristic algorithms. _9167052 |
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| 650 | 6 |
_aAlgorithmes heuristiques. _9998524 |
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| 650 | 7 |
_aCOMPUTERS _xProgramming _xOpen Source. _2bisacsh _94346 |
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| 650 | 7 |
_aCOMPUTERS _xSoftware Development & Engineering _xTools. _2bisacsh _94348 |
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| 650 | 7 |
_aCOMPUTERS _xSoftware Development & Engineering _xGeneral. _2bisacsh _94347 |
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_aHeuristic algorithms _2fast _9167052 |
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| 700 | 1 |
_aSchrödl, Stefan. _9167053 |
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_iPrint version: _aEdelkamp, Stefan. _tHeuristic search. _dWaltham, MA : Morgan Kaufmann/Elsevier, ©2012 _z9780123725127 _w(DLC) 2011005844 _w(OCoLC)707022985 |
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