Artificial Intelligence For Advanced Problem Solving Techniques
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Artificial Intelligence For Advanced Problem Solving Techniques
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Author : Vlahavas, Ioannis
language : en
Publisher: IGI Global
Release Date : 2008-01-31
Artificial Intelligence For Advanced Problem Solving Techniques written by Vlahavas, Ioannis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-31 with Education categories.
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.
Artificial Intelligence
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Author : George F. Luger
language : en
Publisher: Pearson Education
Release Date : 2005
Artificial Intelligence written by George F. Luger and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
This edition of 'Artificial Intelligence' includes increased coverage of the stochastic approaches to AI and stochastic methodology. Various sections have also been extended to recognize the importance of agent-based problem solving and embodiment in AI technology.
Problem Solving Methods In Artificial Intelligence
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Author : N. J. Nilsson
language : en
Publisher:
Release Date : 1977
Problem Solving Methods In Artificial Intelligence written by N. J. Nilsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.
Artificial Intelligence Problems And Their Solutions
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Author : Danny Kopec
language : en
Publisher: Mercury Learning and Information
Release Date : 2014-04-15
Artificial Intelligence Problems And Their Solutions written by Danny Kopec and has been published by Mercury Learning and Information this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-15 with Computers categories.
This book lends insight into solving some well-known AI problems using the most efficient methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem: 1) a precise description of a well-known AI problem coupled with an effective graphical representation; 2) discussion of possible approaches to solving each problem; 3) identifying and presenting the best known human solution to each problem; 4) evaluation and discussion of the Human Window aspects for the best solution; 5) a playability site where students can exercise the process of developing their solutions, as well as “experiencing” the best solution; 6) code or pseudo-code implementing the solution algorithm, and 7) academic references for each problem. Features: Addresses AI problems well known to computer science and mathematics students from a number of perspectives Covers classic AI problems such as Twelve Coins, Red Donkey, Cryptarithms, Rubik’s Cube, Missionaries/Cannibals, Knight’s Tour, Monty Hall, and more Includes a companion CD-ROM with source code, solutions, figures, and more Includes playability sites where students can exercise the process of developing their solutions Describes problem-solving methods which may be applied to many problem situations
Instructor S Manual For Artificial Intelligence
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Author : George F. Luger
language : en
Publisher:
Release Date : 1993
Instructor S Manual For Artificial Intelligence written by George F. Luger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with LISP (Lenguaje de programacion) categories.
Multicriteria Decision Aid And Artificial Intelligence
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Author : Michael Doumpos
language : en
Publisher: John Wiley & Sons
Release Date : 2013-02-01
Multicriteria Decision Aid And Artificial Intelligence written by Michael Doumpos and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-01 with Business & Economics categories.
Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.
Problem Solving Methods In Artificial Intelligence
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Author : Nils J. Nilsson
language : en
Publisher:
Release Date : 1982
Problem Solving Methods In Artificial Intelligence written by Nils J. Nilsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.
Artificial Intelligence
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Author : George F. Luger
language : en
Publisher:
Release Date : 2008
Artificial Intelligence written by George F. Luger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Simulation And Computational Red Teaming For Problem Solving
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Author : Jiangjun Tang
language : en
Publisher: John Wiley & Sons
Release Date : 2019-11-19
Simulation And Computational Red Teaming For Problem Solving written by Jiangjun Tang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-19 with Computers categories.
An authoritative guide to computer simulation grounded in a multi-disciplinary approach for solving complex problems Simulation and Computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multi-disciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics. The book’s advanced topics demonstrate how modern artificial intelligence and computational intelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of Computational Red Teaming to reveal how the combined fundamentals and advanced techniques are used successfully for solving and testing complex real-world problems. This important book: • Demonstrates how computer simulation and Computational Red Teaming support each other for solving complex problems • Describes the main approaches to modeling real-world phenomena and embedding these models into computer simulations • Explores how a number of advanced artificial intelligence and computational intelligence concepts are used in conjunction with the fundamental aspects of simulation Written for researchers and students in the computational modelling and data analysis fields, Simulation and Computational Red Teaming for Problem Solving covers the foundation and the standard elements of the process of building a simulation and explores the simulation topic with a modern research approach.
Knowledge Based Systems
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Author : Rajendra Akerkar
language : en
Publisher: Jones & Bartlett Publishers
Release Date : 2009-08-25
Knowledge Based Systems written by Rajendra Akerkar and has been published by Jones & Bartlett Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-25 with Computers categories.
A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.