Readings In Artificial Intelligence And Databases


Readings In Artificial Intelligence And Databases
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Readings In Artificial Intelligence And Databases


Readings In Artificial Intelligence And Databases
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Author : John Mylopoulos
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-28

Readings In Artificial Intelligence And Databases written by John Mylopoulos and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.


The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.



Readings In Machine Learning


Readings In Machine Learning
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Author : Jude W. Shavlik
language : en
Publisher: Morgan Kaufmann
Release Date : 1990

Readings In Machine Learning written by Jude W. Shavlik and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.


The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.



Readings In Artificial Intelligence


Readings In Artificial Intelligence
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Author : Bonnie Lynn Webber
language : en
Publisher:
Release Date : 1981

Readings In Artificial Intelligence written by Bonnie Lynn Webber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Artificial intelligence categories.


The purpose of this collection is to make accessible in one place a number of the seminal research papers in the field of aritificial intelliigence. These papers cover a wide variety of topics; some are theoretical and some experimental. As many of the papers included here are difficult to find elsewhere, having originally been published in conference proceedings or journals that are no longer in print, the researcher or student will find this volume a valuable sourcebookof fundamental AI research. The editors have added useful introductions to each section and a comprehensive subject index.



Readings In Distributed Artificial Intelligence


Readings In Distributed Artificial Intelligence
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Author : Alan H. Bond
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-05

Readings In Distributed Artificial Intelligence written by Alan H. Bond and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-05 with Computers categories.


Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.



Readings In Agents


Readings In Agents
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Author : Michael N. Huhns
language : en
Publisher: Morgan Kaufmann
Release Date : 1998

Readings In Agents written by Michael N. Huhns and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.


This book collects the most significant literature on agents in an attempt top forge a broad foundation for the field. Includes papers from the perspectives of AI, databases, distributed computing, and programming languages. The book will be of interest to programmers and developers, especially in Internet areas.



Introductory Readings In Expert Systems


Introductory Readings In Expert Systems
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Author : Donald Michie
language : en
Publisher: CRC Press
Release Date : 1982

Introductory Readings In Expert Systems written by Donald Michie and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Computers categories.


"David Blackbourn tells the story of how the German people transformed their landscape over 250 years from a waterlogged swampland into one of the most powerful countries in the Western world. His account, in which he shows how Germans set out to "conquer" that most fundamental natural element, water, brings together politics, culture, economics, and ecology in a daring work of total history."--BOOK JACKET.



Readings In Artificial Intelligence And Software Engineering


Readings In Artificial Intelligence And Software Engineering
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Author : Charles Rich
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-28

Readings In Artificial Intelligence And Software Engineering written by Charles Rich and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.


Readings in Artificial Intelligence and Software Engineering covers the main techniques and application of artificial intelligence and software engineering. The ultimate goal of artificial intelligence applied to software engineering is automatic programming. Automatic programming would allow a user to simply say what is wanted and have a program produced completely automatically. This book is organized into 11 parts encompassing 34 chapters that specifically tackle the topics of deductive synthesis, program transformations, program verification, and programming tutors. The opening parts provide an introduction to the key ideas to the deductive approach, namely the correspondence between theorems and specifications and between constructive proofs and programs. These parts also describes automatic theorem provers whose development has be designed for the programming domain. The subsequent parts present generalized program transformation systems, the problems involved in using natural language input, the features of very high level languages, and the advantages of the programming by example system. Other parts explore the intelligent assistant approach and the significance and relation of programming knowledge in other programming system. The concluding parts focus on the features of the domain knowledge system and the artificial intelligence programming. Software engineers and designers and computer programmers, as well as researchers in the field of artificial intelligence will find this book invaluable.



On Conceptual Modelling


On Conceptual Modelling
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Author : M.L. Brodie
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

On Conceptual Modelling written by M.L. Brodie and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


The growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre sents knowledge about an enterprise. Consequently, Knowledge Repre sentation is viewed as a central issue in Artificial Intelligence research. Database design methodologies developed during the last five years are almost unanimous in offering semantic data models in terms of which the designer directly and naturally models an enterprise before proceed ing to a detailed logical and physical database design. In Programming Languages, different forms of abstraction which allow implementation independent specifications of data, functions, and control have been a major research theme for a decade. To emphasize the common goals of these three research efforts, we call this new activity conceptual modelling.



Machine Learning And Data Mining


Machine Learning And Data Mining
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Author : Igor Kononenko
language : en
Publisher: Elsevier
Release Date : 2007-04-30

Machine Learning And Data Mining written by Igor Kononenko and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-30 with Computers categories.


Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining A valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions



Readings In Artificial Intelligence


Readings In Artificial Intelligence
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Author : Bonnie Lynn Webber
language : en
Publisher:
Release Date : 1981

Readings In Artificial Intelligence written by Bonnie Lynn Webber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Artificial intelligence categories.


The purpose of this collection is to make accessible in one place a number of the seminal research papers in the field of aritificial intelliigence. These papers cover a wide variety of topics; some are theoretical and some experimental. As many of the papers included here are difficult to find elsewhere, having originally been published in conference proceedings or journals that are no longer in print, the researcher or student will find this volume a valuable sourcebookof fundamental AI research. The editors have added useful introductions to each section and a comprehensive subject index.