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Constraint Programming and Decision Making: Theory and Applications

  • Book
  • © 2018

Overview

Editors:
  1. Martine Ceberio

    1. Department of Computer Science, University of Texas at El Paso, El Paso, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Vladik Kreinovich

    1. Department of Computer Science, University of Texas at El Paso, El Paso, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd’XX) from 2013 to 2016
  • Discusses all stages of decision making under constraints
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 100)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Why Deep Neural Networks: A Possible Theoretical Explanation

    • Chitta Baral, Olac Fuentes, Vladik Kreinovich
    Pages 1-5

  3. Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multi-experts Multi-criteria Decision Making

    • Stefano Bistarelli, Martine Ceberio, Joel A. Henderson, Francesco Santini
    Pages 7-19

  4. Constraint Approach to Multi-objective Optimization

    • Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 21-25

  5. From Global to Local Constraints: A Constructive Version of Bloch’s Principle

    • Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 27-32

  6. Optimizing pred(25) Is NP-Hard

    • Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 33-37

  7. Range Estimation Under Constraints Is Computable Unless There Is a Discontinuity

    • Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 39-44

  8. Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-valued Functions (Constraints)

    • Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
    Pages 45-49

  9. Algebraic Product is the only T-norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant

    • Juan Carlos Figueroa-García, Martine Ceberio, Vladik Kreinovich
    Pages 51-54

  10. Comparing Operation Points in Linear Programming with Fuzzy Constraints

    • Juan Carlos Figueroa-García, Germán Hernández-Pérez, Dusko Kalenatic
    Pages 55-66

  11. On Modeling Multi-experts Multi-criteria Decision-Making Argumentation and Disagreement: Philosophical and Computational Approaches Reconsidered

    • Luciana Garbayo, Martine Ceberio, Stefano Bistarelli, Joel Henderson
    Pages 67-75

  12. Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix

    • Milan Hladík
    Pages 77-88

  13. Automatic Loop-Shaping of \({H_\infty }\)/\(\mu \) Problem in QFT Using Interval Consistency Based Hybrid Optimization

    • R. Jeyasenthil, P. S. V. Nataraj, Harsh Purohit
    Pages 89-94

  14. Existence of the Nash-Optimal Strategies in the Meta-Game

    • Vyacheslav V. Kalashnikov, Vladimir A. Bulavsky, Nataliya I. Kalashnykova
    Pages 95-100

  15. Peak-End Rule: A Utility-Based Explanation

    • Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
    Pages 101-106

  16. Similarity Approach to Defining Basic Level of Concepts Explained from the Utility Viewpoint

    • Joe Lorkowski, Martin Trnecka
    Pages 107-111

  17. Comparisons of Measurement Results as Constraints on Accuracies of Measuring Instruments: When can we Determine the Accuracies from These Constraints?

    • Christian Servin, Vladik Kreinovich
    Pages 113-122

  18. Dow Theory’s Peak-and-Trough Analysis Justified

    • Chrysostomos D. Stylios, Vladik Kreinovich
    Pages 123-128
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Keywords

About this book

This book describes new algorithms and ideas for making effective decisions under constraints, including applications in control engineering, manufacturing (how to optimally determine the production level), econometrics (how to better predict stock market behavior), and environmental science and geosciences (how to combine data of different types). It also describes general algorithms and ideas that can be used in other application areas.

The book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd’XX) from 2013 to 2016. These workshops, held in the US (El Paso, Texas) and in Europe (Würzburg, Germany, and Uppsala, Sweden), have attracted researchers and practitioners from all over the world.

It is of interest to practitioners who benefit from the new techniques, to researchers who want to extend the ideas from these papers to new application areas and/or further improve the corresponding algorithms, and to graduate students who want to learn more – in short, to anyone who wants to make more effective decisions under constraints.


Editors and Affiliations

  • Department of Computer Science, University of Texas at El Paso, El Paso, USA

    Martine Ceberio, Vladik Kreinovich

Bibliographic Information

  • Book Title: Constraint Programming and Decision Making: Theory and Applications

  • Editors: Martine Ceberio, Vladik Kreinovich

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-319-61753-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-61752-7Published: 18 September 2017

  • Softcover ISBN: 978-3-319-87153-0Published: 18 May 2018

  • eBook ISBN: 978-3-319-61753-4Published: 07 September 2017

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: XII, 128

  • Number of Illustrations: 6 b/w illustrations, 1 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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