| 000 | 04668nam a22005655i 4500 | ||
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| 001 | 978-3-540-73580-9 | ||
| 003 | DE-He213 | ||
| 005 | 20240730184214.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2007 gw | s |||| 0|eng d | ||
| 020 |
_a9783540735809 _9978-3-540-73580-9 |
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| 024 | 7 |
_a10.1007/978-3-540-73580-9 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
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_aUYQ _2bicssc |
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_aCOM004000 _2bisacsh |
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_aUYQ _2thema |
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_a006.3 _223 |
| 245 | 1 | 0 |
_aAbstraction, Reformulation, and Approximation _h[electronic resource] : _b7th International Symposium, SARA 2007, Whistler, Canada, July 18-21, 2007, Proceedings / _cedited by Ian Miguel, Wheeler Tuml. |
| 250 | _a1st ed. 2007. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007. |
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| 300 |
_aXI, 420 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4612 |
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| 505 | 0 | _aInvited Talks (Abstracts) -- State Abstraction in Real-Time Heuristic Search -- Abstraction and Reformulation in the Generation of Constraint Models -- A Framework for Integrating Optimization and Constraint Programming -- Research Papers -- DFS-Tree Based Heuristic Search -- Partial Pattern Databases -- CDB-PV: A Constraint Database-Based Program Verifier -- Generating Implied Boolean Constraints Via Singleton Consistency -- Reformulating Constraint Satisfaction Problems to Improve Scalability -- Reformulating Global Constraints: The Slide and Regular Constraints -- Relaxation of Qualitative Constraint Networks -- Dynamic Domain Abstraction Through Meta-diagnosis -- Channeling Abstraction -- Approximate Model-Based Diagnosis Using Greedy Stochastic Search -- Combining Perimeter Search and Pattern Database Abstractions -- Solving Satisfiability in Ground Logic with Equality by Efficient Conversion to Propositional Logic -- Tailoring Solver-Independent Constraint Models: A Case Study with Essence? and Minion -- A Meta-CSP Model for Optimal Planning -- Reformulation for Extensional Reasoning -- An Abstract Theory and Ontology of Motion Based on the Regions Connection Calculus -- Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning -- Model-Based Exploration in Continuous State Spaces -- Active Learning of Dynamic Bayesian Networks in Markov Decision Processes -- Boosting MUS Extraction -- Homogeneous Hierarchical Composition of Areas in Multi-robot Area Coverage -- Formalizing the Abstraction Process in Model-Based Diagnosis -- Boolean Approximation Revisited -- An Analysis of Map-Based Abstraction and Refinement -- Solving Difficult SAT Instances Using Greedy Clique Decomposition -- Abstraction and Complexity Measures -- Research Summaries -- Abstraction, Emergence, andThought -- What's Your Problem? The Problem of Problem Definition -- A Reformulation-Based Approach to Explanation in Constraint Satisfaction -- Integration of Constraint Programming and Metaheuristics -- Rule-Based Reasoning Via Abstraction -- Extensional Reasoning -- Reformulating Constraint Models Using Input Data -- Using Analogy Discovery to Create Abstractions -- Distributed CSPs: Why It Is Assumed a Variable per Agent? -- Decomposition of Games for Efficient Reasoning -- Generalized Constraint Acquisition -- Using Infeasibility to Improve Abstraction-Based Heuristics -- Leveraging Graph Locality Via Abstraction. | |
| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 0 |
_aComputer science. _99832 |
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| 650 | 0 |
_aMachine theory. _9134878 |
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| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aTheory of Computation. _9134879 |
| 650 | 2 | 4 |
_aFormal Languages and Automata Theory. _9134880 |
| 650 | 2 | 4 |
_aComputer Science Logic and Foundations of Programming. _942203 |
| 700 | 1 |
_aMiguel, Ian. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9134881 |
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| 700 | 1 |
_aTuml, Wheeler. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9134882 |
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| 710 | 2 |
_aSpringerLink (Online service) _9134883 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540735793 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540840886 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4612 _9134884 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-540-73580-9 |
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