MARC Record from marc_columbia

LEADER: 03517fam a2200373 a 4500
001 1725116
005 20220608221542.0
008 940921t19951995njua b 001 0 eng
010 $a 94036444
020 $a0131038052
035 $a(OCoLC)31288015
035 $a(OCoLC)ocm31288015
035 $9ALD0556CU
035 $a(NNC)1725116
035 $a1725116
040 $aDLC$cDLC$dDLC$dOrLoB-B
050 00 $aQ335$b.R86 1995
082 00 $a006.3$220
100 1 $aRussell, Stuart J.$q(Stuart Jonathan)$0http://id.loc.gov/authorities/names/n88217047
245 10 $aArtificial intelligence :$ba modern approach /$cStuart J. Russell and Peter Norvig ; contributing writers, John F. Canny, Jitendra M. Malik, Douglas D. Edwards.
260 $aEnglewood Cliffs, N.J. :$bPrentice Hall,$c[1995], ©1995.
300 $axxviii, 932 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aPrentice Hall series in artificial intelligence
504 $aIncludes bibliographical references (p. 859-903) and index.
505 00 $gI.$tArtificial Intelligence.$tIntelligent Agents --$gII.$tProblem-solving.$tSolving Problems by Searching.$tInformed Search Methods.$tGame Playing --$gIII.$tKnowledge and reasoning.$tAgents that Reason Logically.$tFirst-Order Logic.$tBuilding a Knowledge Base.$tInference in First-Order Logic.$tLogical Reasoning Systems --$gIV.$tActing logically.$tPlanning.$tPractical Planning.$tPlanning and Acting --$gV.$tUncertain knowledge and reasoning.$tUncertainty.$tProbabilistic Reasoning Systems.$tMaking Simple Decisions.$tMaking Complex Decisions --$gVI.$tLearning.$tLearning from Observations.$tLearning in Neural and Belief Networks.$tReinforcement Learning.$tKnowledge in Learning --$gVII.$tCommunicating, perceiving, and acting.$tAgents that Communicate.$tPractical Natural Language Processing.$tPerception.$tRobotics.$gVIII.$tConclusions.$tPhilosophical Foundations.$tAI: Present and Future.$tA Complexity analysis and O() notation --$tB Notes on Languages and Algorithms.
520 $aIntelligent Agents - Stuart Russell and Peter Norvig show how intelligent agents can be built using AI methods, and explain how different agent designs are appropriate depending on the nature of the task and environment. Artificial Intelligence: A Modern Approach is the first AI text to present a unified, coherent picture of the field. The authors focus on the topics and techniques that are most promising for building and analyzing current and future intelligent systems.
520 8 $aThe material is comprehensive and authoritative, yet cohesive and readable. State of the Art - This book covers the most effective modern techniques for solving real problems, including simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural networks, adaptive probabilistic networks, inductive logic programming, computational learning theory, and reinforcement learning.
520 8 $aLeading edge AI techniques are integrated into intelligent agent designs, using examples and exercises to lead students from simple, reactive agents to advanced planning agents with natural language capabilities.
650 0 $aArtificial intelligence.$0http://id.loc.gov/authorities/subjects/sh85008180
700 1 $aNorvig, Peter.$0http://id.loc.gov/authorities/names/n90615806
830 0 $aPrentice Hall series in artificial intelligence.$0http://id.loc.gov/authorities/names/n95065170
852 00 $bsci$hQ335$i.R86 1995