Heuristic Search

Produk Detail:
  • Author : Stefan Edelkamp
  • Publisher : Elsevier
  • Pages : 712 pages
  • ISBN : 9780080919737
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Heuristic Search

Download or Read online Heuristic Search full in PDF, ePub and kindle. this book written by Stefan Edelkamp and published by Elsevier which was released on 31 May 2011 with total page 712 pages. We cannot guarantee that Heuristic Search book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as pattern databases and search with efficient use of external memory and parallel processing units on main boards and graphics cards are detailed. Heuristic search as a problem solving tool is demonstrated in applications for puzzle solving, game playing, constraint satisfaction and machine learning. While no previous familiarity with heuristic search is necessary the reader should have a basic knowledge of algorithms, data structures, and calculus. Real-world case studies and chapter ending exercises help to create a full and realized picture of how search fits into the world of artificial intelligence and the one around us. Provides real-world success stories and case studies for heuristic search algorithms Includes many AI developments not yet covered in textbooks such as pattern databases, symbolic search, and parallel processing units

Heuristic Search

Heuristic Search
  • Author : Stefan Edelkamp,Stefan Schroedl
  • Publisher : Elsevier
  • Release : 31 May 2011
GET THIS BOOK Heuristic Search

Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as pattern databases and search with efficient use of external memory and parallel processing units on main boards and graphics cards are detailed. Heuristic search as a problem solving tool is demonstrated

Multiobjective Heuristic Search

Multiobjective Heuristic Search
  • Author : Pallab Dasgupta,P. P. Chakrabarti,S. C. DeSarkar
  • Publisher : Springer Science & Business Media
  • Release : 11 November 2013
GET THIS BOOK Multiobjective Heuristic Search

Solutions to most real-world optimization problems involve a trade-off between multiple conflicting and non-commensurate objectives. Some of the most challenging ones are area-delay trade-off in VLSI synthesis and design space exploration, time-space trade-off in computation, and multi-strategy games. Conventional search techniques are not equipped to handle the partial order state spaces of multiobjective problems since they inherently assume a single scalar objective function. Multiobjective heuristic search techniques have been developed to specifically address multicriteria combinatorial optimization problems. This text describes

Modern Heuristic Search Methods

Modern Heuristic Search Methods
  • Author : V. J. Rayward-Smith,I. H. Osman,C. R. Reeves,G. D. Smith
  • Publisher : John Wiley & Sons
  • Release : 23 December 1996
GET THIS BOOK Modern Heuristic Search Methods

Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved extraordinarily successful by solving some of the most difficult, real-world problems. At the interface between Artificial Intelligence and Operational Research, research in this exciting area is progressing apace spurred on by the needs of industry and

Heuristic Search

Heuristic Search
  • Author : Saïd Salhi
  • Publisher : Springer
  • Release : 18 February 2017
GET THIS BOOK Heuristic Search

This book aims to provide a general overview of heuristic search, to present the basic steps of the most popular heuristics, and to stress their hidden difficulties as well as their opportunities. It provides a comprehensive understanding of Heuristic search, the applications of which are now widely used in a variety of industries including engineering, finance, sport, management and medicine. It intends to aid researchers and practitioners in solving complex combinatorial and global optimisation problems, and spark interest in this

Advances in Computational and Stochastic Optimization Logic Programming and Heuristic Search

Advances in Computational and Stochastic Optimization  Logic Programming  and Heuristic Search
  • Author : David L. Woodruff
  • Publisher : Springer Science & Business Media
  • Release : 14 March 2013
GET THIS BOOK Advances in Computational and Stochastic Optimization Logic Programming and Heuristic Search

Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis

Heuristics

Heuristics
  • Author : Judea Pearl,dea Pearl
  • Publisher : Addison-Wesley
  • Release : 21 September 1984
GET THIS BOOK Heuristics

Problem-solving strartegies and the nature of Heuristic informatio n.Heuristics and problem representations. Basic Heuristic-Search procedures. Formal properties of Heuristic methods. Heuristics viewed as information provided by simplified models. Performance analysis of Heuristic methods. Abstract models for quantitative performace analysis. Complexity versus precision of admissible Heuristics. Searching with nonadmissible Heuristics. Game-playing programs. Strategies and models for game-playing programs. Performace analysis for game-searching strategies. Decision quality in game searching. Bibliography. Index.

Am an Artificial Intelligence Approach to Discovery in Mathematics as Heuristic Search

Am  an Artificial Intelligence Approach to Discovery in Mathematics as Heuristic Search
  • Author : Douglas B. Lenat,Stanford University. Computer Science Department
  • Publisher : Unknown
  • Release : 21 September 1976
GET THIS BOOK Am an Artificial Intelligence Approach to Discovery in Mathematics as Heuristic Search

A program called 'AM', is described which models one aspect of elementary mathematics research: developing new concepts under the guidance of a large body of heuristic rules. 'Mathematics' is considered as a type of intelligent behavior, not as a finished product. The local heuristics communicate via an agenda mechanism, a global list of tasks for the system to perform and reasons why each task is plausible. A single task might direct AM to define a new concept, or to explore

Speeding Up the Convergence of Online Heuristic Search and Scaling Up Offline Heuristic Search

Speeding Up the Convergence of Online Heuristic Search and Scaling Up Offline Heuristic Search
  • Author : David Andre Furcy
  • Publisher : Unknown
  • Release : 21 September 2021
GET THIS BOOK Speeding Up the Convergence of Online Heuristic Search and Scaling Up Offline Heuristic Search

The most popular methods for solving the shortest-path problem in Artificial Intelligence are heuristic search algorithms. The main contributions of this research are new heuristic search algorithms that are either faster or scale up to larger problems than existing algorithms. Our contributions apply to both online and offline tasks. For online tasks, existing real-time heuristic search algorithms learn better informed heuristic values and in some cases eventually converge to a shortest path by repeatedly executing the action leading to a

Heuristic Search

Heuristic Search
  • Author : Saïd Salhi
  • Publisher : Palgrave Macmillan
  • Release : 25 July 2018
GET THIS BOOK Heuristic Search

This book aims to provide a general overview of heuristic search, to present the basic steps of the most popular heuristics, and to stress their hidden difficulties as well as their opportunities. It provides a comprehensive understanding of Heuristic search, the applications of which are now widely used in a variety of industries including engineering, finance, sport, management and medicine. It intends to aid researchers and practitioners in solving complex combinatorial and global optimisation problems, and spark interest in this

Accelerating Heuristic Search for AI Planning

Accelerating Heuristic Search for AI Planning
  • Author : You Xu
  • Publisher : Unknown
  • Release : 21 September 2021
GET THIS BOOK Accelerating Heuristic Search for AI Planning

AI Planning is an important research field. Heuristic search is the most commonly used method in solving planning problems. Despite recent advances in improving the quality of heuristics and devising better search strategies, the high computational cost of heuristic search remains a barrier that severely limits its application to real world problems. In this dissertation, we propose theories, algorithms and systems to accelerate heuristic search for AI planning. We make four major contributions in this dissertation. First, we propose a

A Theory of Heuristic Information in Game Tree Search

A Theory of Heuristic Information in Game Tree Search
  • Author : Chun-Hung Tzeng
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK A Theory of Heuristic Information in Game Tree Search

Searching is an important process in most AI systems, especially in those AI production systems consisting of a global database, a set of production rules, and a control system. Because of the intractability of uninformed search procedures, the use of heuristic information is necessary in most searching processes of AI systems. This important concept of heuristic informatioD is the central topic of this book. We first use the 8-puzzle and the game tic-tac-toe (noughts and crosses) as examples to help