Books in Artificial intelligence general

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Intelligent Production Machines and Systems - First I*PROMS Virtual Conference

• 1st Edition
• December 9, 2005
• Duc T. Pham
• English
• eBook 978-0-08-046251-6

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The 2005 Virtual International Conference on IPROMS took place on the Internet between 4 and 15 July 2005. IPROMS 2005 was an outstanding success. During the Conference, some 4168 registered delegates and guests from 71 countries participated in the Conference, making it a truly global phenomenon. This book contains the Proceedings of IPROMS 2005. The 107 peer-reviewed technical papers presented at the Conference have been grouped into twelve sections, the last three featuring contributions selected for IPROMS 2005 by Special Sessions chairmen: - Collaborative and Responsive Manufacturing Systems- Concurrent Engineering- E-manufacturing, E-business and Virtual Enterprises- Intelligent Automation Systems- Intelligent Decision Support Systems- Intelligent Design Systems- Intelligent Planning and Scheduling Systems- Mechatronics- Reconfigurable Manufacturing Systems- Tangible Acoustic Interfaces (Tai Chi)- Innovative Production Machines and Systems- Intelligent and Competitive Manufacturing Engineering

Handbook of Temporal Reasoning in Artificial Intelligence

• 1st Edition
• Volume 1
• March 1, 2005
• Michael David Fisher + 2 more
• English
• eBook 978-0-08-053336-0

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This collection represents the primary reference work for researchers and students in the area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to play in many areas, particularly Artificial Intelligence. Yet, until now, there has been no single volume collecting together the breadth of work in this area. This collection brings together the leading researchers in a range of relevant areas and provides an coherent description of the breadth of activity concerning temporal reasoning in the filed of Artificial Intelligence.Key Features:- Broad range: foundations; techniques and applications- Leading researchers around the world have written the chapters- Covers many vital applications- Source book for Artificial Intelligence, temporal reasoning- Approaches provide foundation for many future software systems

Intelligent Systems for Information Processing: From Representation to Applications

• 1st Edition
• November 7, 2003
• B. Bouchon-Meunier + 2 more
• English
• eBook 978-0-08-052565-5

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Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.Key Features:• Tools for construction of intelligent systems• Contributions by world leading experts• Fundamental issues and applications• New technologies for web searching• Methods for modeling uncertain information• Future directions in web technologies• Transversal to methods and domains

Applying Knowledge Management

• 1st Edition
• December 20, 2002
• Ian Watson
• English
• eBook 978-0-08-049927-7

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The wholesale capture and distribution of knowledge over the last thirty years has created an unprecedented need for organizations to manage their knowledge assets. Knowledge Management (KM) addresses this need by helping an organization to leverage its information resources and knowledge assets by "remembering" and applying its experience. KM involves the acquisition, storage, retrieval, application, generation, and review of the knowledge assets of an organization in a controlled way. Today, organizations are applying KM throughout their systems, from information management to marketing to human resources. Applying Knowledge Management: Techniques for Building Corporate Memories examines why case-based reasoning (CBR) is so well suited for KM. CBR can be used to adapt solutions originally designed to solve problems in the past, to address new problems faced by the organization. This book clearly demonstrates how CBR can be successfully applied to KM problems by presenting several in-depth case-studies. Ian Watson, a well-known researcher in case-based reasoning and author of the introductory book, Applying CBR: Techniques for Enterprise Systems has written this book specifically for IT managers and knowledge management system developers.

Chips Challenging Champions

• 1st Edition
• April 17, 2002
• J. Schaeffer + 1 more
• English
• eBook 978-0-08-092991-0

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One of the earliest dreams of the fledgling field of artificial intelligence (AI) was to build computer programs that could play games as well as or better than the best human players. Despite early optimism in the field, the challenge proved to be surprisingly difficult. However, the 1990s saw amazing progress. Computers are now better than humans in checkers, Othello and Scrabble; are at least as good as the best humans in backgammon and chess; and are rapidly improving at hex, go, poker, and shogi. This book documents the progress made in computers playing games and puzzles. The book is the definitive source for material of high-performance game-playing programs.

Creative Evolutionary Systems

• 1st Edition
• July 25, 2001
• David W. Corne + 1 more
• English
• eBook 978-0-08-050337-0

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The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today. Evolutionary computation is a way of solving problems, or generating designs, using mechanisms derived from natural evolution. This book concentrates on applying important ideas in evolutionary computation to creative areas, such as art, music, architecture, and design. It shows how human interaction, new representations, and approaches such as open-ended evolution can extend the capabilities of evolutionary computation from optimization of existing solutions to innovation and the generation of entirely new and original solutions.This book takes a fresh look at creativity, exploring what it is and how the actions of evolution can resemble it. Examples of novel evolved solutions are presented in a variety of creative disciplines. The editors have compiled contributions by leading researchers in each discipline. If you are a savvy and curious computing professional, a computer-literate artist, musician or designer, or a specialist in evolutionary computation and its applications, you will find this a fascinating survey of the most interesting work being done in the area today.

Foundations of Genetic Algorithms 2001 (FOGA 6)

• 1st Edition
• June 25, 2001
• Worth Martin
• William Spears + 1 more
• English
• eBook 978-0-08-050687-6

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Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones.

Illustrating Evolutionary Computation with Mathematica

• 1st Edition
• January 29, 2001
• Christian Jacob
• English
• Hardback 978-1-55860-637-1

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• eBook 978-0-08-050845-0

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An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this fascinating and increasingly important field. Unique among books on evolutionary computation, the book also explores the application of evolution to developmental processes in nature, such as the growth processes in cells and plants. If you are a newcomer to the evolutionary computation field, an engineer, a programmer, or even a biologist wanting to learn how to model the evolution and coevolution of plants, this book will provide you with a visually rich and engaging account of this complex subject.

Charging Communication Networks

• 1st Edition
• June 3, 1999
• D.J. Songhurst
• English
• eBook 978-0-08-052896-0

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This book proposes that usage-based charging schemes are essential to generate the incentives necessary for efficient operation of multiservice networks. The rapid development of network technology is enabling sophisticated new services and applications which demand new charging models. The same technology provides the means to operate the right charging schemes.Some of the work done in the European collaborative project CA$hMAN (Charging and Accounting Schemes in Multiservice ATM Networks). This project combined performance and economic models of network resource usage and cutomer utility to construct simple but effective charging schemes which were implemented and trialled in an advanced management platform.

Humane Interfaces

• 1st Edition
• Volume 13
• March 1, 1999
• J.P. Marsh + 2 more
• English
• eBook 978-0-08-055213-2

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Ever since the first successful International Cognitive Technology (CT) Conference in Hong Kong in August 1995, a growing concern about the dehumanising potential of machines, and the machining potential of the human mind, has pervaded the organisers' thinking. When setting up the agenda for the Second International CT Conference in Aizu, Japan, in August of 1997, they were aware that a number of new approaches had seen the light, but that the need to integrate them within a human framework had become more urgent than ever, due to the accelerating pace of technological and commercialised developments in the computer related fields of industry and researchWhat the present book does is re-emphasize the importance of the 'human factor' - not as something that we should 'also' take into account, when doing technology, but as the primary driving force and supreme aim of our technological endeavours. Machining the human should not happen, but humanising the machine should. La Humacha should replace the Hemachine in our thinking about these matters.