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|a 9783540735809
|9 978-3-540-73580-9
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|a 10.1007/978-3-540-73580-9
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|a Abstraction, Reformulation, and Approximation
|h [electronic resource] :
|b 7th International Symposium, SARA 2007, Whistler, Canada, July 18-21, 2007, Proceedings /
|c edited by Ian Miguel, Wheeler Tuml.
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|a 1st ed. 2007.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
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|a XI, 420 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 4612
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|a Invited 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, and Thought -- 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.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Computer science.
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| 650 |
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|a Machine theory.
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|a Artificial Intelligence.
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| 650 |
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|a Theory of Computation.
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| 650 |
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|a Formal Languages and Automata Theory.
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| 650 |
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|a Computer Science Logic and Foundations of Programming.
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| 700 |
1 |
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|a Miguel, Ian.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Tuml, Wheeler.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783540840886
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| 776 |
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|i Printed edition:
|z 9783540735793
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| 830 |
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 4612
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| 856 |
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|u https://doi.uam.elogim.com/10.1007/978-3-540-73580-9
|z Texto Completo
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|a ZDB-2-SXCS
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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