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Constraint programming and decision making /

Constraint programming and decision making / edited by Martine Ceberio, Vladik Kreinovich. - xii, 209 páginas : 33 ilustraciones - Studies in Computational Intelligence, 539 1860-949X ; .

Springer eBooks

Algorithmics of Checking Whether a Mapping Is Injective, Surjective, and/or Bijective -- Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying -- Continuous If-Then Statements Are Computable -- Linear programming with Interval Type-2 fuzzy constraints -- Epistemic Considerations on Expert Disagreement, Normative Justification, and Inconsistency Regarding Multi-Criteria Decision Making .-Interval Linear Programming Techniques in Constraint Programming and Global Optimization.-Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-Objective Constraint Optimization.-Gibbs Sampling as a Natural Statistical Analog of Constraints Techniques: Prediction in Science under General Probabilistic Uncertainty .-Why Tensors.-Adding Constraints – A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems.-Under Physics-Motivated Constraints, Generally-Non-Algorithmic Computational Problems Become Algorithmically Solvable -- Constraint-Related Reinterpretation of Fundamental Physical Equations Can Serve as a Built-In Regularization -- Optimization of the Choquet Integral using Genetic Algorithm -- Optimization of the Choquet Integral using Genetic Algorithm -- Scalable, Portable, Verifiable Kronecker Products on Multi-Scale Computers -- Reliable and Robust Synthesis of QFT controller using ICSP -- Towards an Efficient Bisection of Ellipsoids -- .-An Auto-validating Rejection Sampler for Differentiable Arithmetical Expressions: Posterior Sampling of Phylogenetic Quartets -- Graph Subdivision Methods in Interval Global Optimization -- An Extended BDI-Based Model for Human Decision-Making and Social Behavior: Various Applications -- Why Curvature in L-Curve: Combining Soft Constraints -- Surrogate Models for Mixed Discrete-Continuous Variables Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian Space-Time: Dvoretzky’s Theorem Revisited.

9783319042800

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