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Constraint Solving and Planning with Picat / by Neng-Fa Zhou, Håkan Kjellerstrand, Jonathan Fruhman.

By: Contributor(s): Material type: TextTextLanguage: İngilizce Series: SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive RoboticsPublisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319258836
Subject(s): LOC classification:
  • Q334-342
Online resources:
Contents:
An Overview of Picat -- Basic Constraint Modeling -- Advanced Constraint Modeling -- Dynamic Programming with Tabling -- From Dynamic Programming to Planning -- Planning with Resource-Bounded Search -- Encodings for the Traveling Salesman Problem -- Index.
Summary: This book introduces a new logic-based multi-paradigm programming language that integrates logic programming, functional programming, dynamic programming with tabling, and scripting, for use in solving combinatorial search problems, including CP, SAT, and MIP (mixed integer programming) based solver modules, and a module for planning that is implemented using tabling. The book is useful for undergraduate and graduate students, researchers, and practitioners.
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Holdings
Item type Current library Home library Collection Call number Status Notes Date due Barcode
E-Book E-Book Merkez Kütüphane Merkez Kütüphane E-Kitap Koleksiyonu Q334-342EBK (Browse shelf(Opens below)) Geçerli değil-e-Kitap / Not applicable-e-Book EBK00262

An Overview of Picat -- Basic Constraint Modeling -- Advanced Constraint Modeling -- Dynamic Programming with Tabling -- From Dynamic Programming to Planning -- Planning with Resource-Bounded Search -- Encodings for the Traveling Salesman Problem -- Index.

This book introduces a new logic-based multi-paradigm programming language that integrates logic programming, functional programming, dynamic programming with tabling, and scripting, for use in solving combinatorial search problems, including CP, SAT, and MIP (mixed integer programming) based solver modules, and a module for planning that is implemented using tabling. The book is useful for undergraduate and graduate students, researchers, and practitioners.

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