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Author : Robert Engelmore
Publisher : Unknown
Page : 684 pages
File Size : 53,5 Mb
Release : 1988
Category : Computers
ISBN : STANFORD:36105016441474
Author : Robert Engelmore
Publisher : Aaai Press
Page : 677 pages
File Size : 51,7 Mb
Release : 1990-03
Category : Computers
ISBN : 0262510324
Author : John Mylopoulos,Michael L. Brodie
Publisher : Morgan Kaufmann
Page : 688 pages
File Size : 43,7 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9780080886626
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.
Author : Alan H. Bond,Les Gasser
Publisher : Morgan Kaufmann
Page : 668 pages
File Size : 42,6 Mb
Release : 2014-06-05
Category : Computers
ISBN : 9781483214443
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.
Author : Anonim
Publisher : Unknown
Page : 600 pages
File Size : 48,6 Mb
Release : 1998
Category : Artificial intelligence
ISBN : UOM:39015047394245
Author : Kenneth H. Rose
Publisher : Unknown
Page : 178 pages
File Size : 40,7 Mb
Release : 1985
Category : Artificial intelligence
ISBN : UVA:X030447379
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 53,6 Mb
Release : 1989
Category : Artificial intelligence
ISBN : UOM:39015026571417
Author : Z. Hippe
Publisher : Elsevier
Page : 278 pages
File Size : 49,5 Mb
Release : 2013-10-22
Category : Computers
ISBN : 9781483291673
This comprehensive overview of the application of artificial intelligence methods (AI) in chemistry contains an in-depth summary of the most interesting achievements of modern AI, namely, problem-solving in molecular structure elucidation and in syntheses design. The book provides a brief history of AI as a branch of computer science. It also gives an overview of the basic methods employed for searching the solution space (thoroughly exemplified by chemical problems), together with a profound and expert discussion on many questions that may be raised by modern chemists wishing to apply computer-assisted methods in their own research. Moreover, it includes a survey of the most important literature references, covering all essential research in automated interpretation of molecular spectra to elucidate a structure and in syntheses design. A glossary of basic terms from computer technology for chemists is appended. This book is intended to make the emerging field of artificial intelligence understandable and accessible for chemists, who are not trained in computer methods for solving chemical problems. The author discusses step-by-step basic algorithms for structure elucidation and many aspects of the automated design of organic syntheses in order to integrate this fascinating technology into current chemical knowledge.
Author : Jude W. Shavlik,Thomas Glen Dietterich
Publisher : Morgan Kaufmann
Page : 868 pages
File Size : 54,6 Mb
Release : 1990
Category : Computers
ISBN : 1558601430
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.
Author : Matt Ginsberg
Publisher : Newnes
Page : 445 pages
File Size : 43,7 Mb
Release : 2012-12-02
Category : Computers
ISBN : 9780323139687
Since its publication, Essentials of Artificial Intelligence has been adopted at numerous universities and colleges offering introductory AI courses at the graduate and undergraduate levels. Based on the author's course at Stanford University, the book is an integrated, cohesive introduction to the field. The author has a fresh, entertaining writing style that combines clear presentations with humor and AI anecdotes. At the same time, as an active AI researcher, he presents the material authoritatively and with insight that reflects a contemporary, first hand understanding of the field. Pedagogically designed, this book offers a range of exercises and examples.
Author : Ryszard S. Michalski,George Tecuci
Publisher : Morgan Kaufmann
Page : 798 pages
File Size : 50,5 Mb
Release : 1994-02-09
Category : Computers
ISBN : 1558602518
Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area. See below for earlier volumes in the series.
Author : Halpin, Terry
Publisher : IGI Global
Page : 564 pages
File Size : 47,8 Mb
Release : 2008-08-31
Category : Computers
ISBN : 9781605660998
"This book offers research articles focused on key issues concerning the development, design, and analysis of databases"--Provided by publisher.
Author : Didier J. Dubois,Michael P. Wellman,Bruce D'Ambrosio
Publisher : Morgan Kaufmann
Page : 379 pages
File Size : 47,8 Mb
Release : 2014-05-12
Category : Computers
ISBN : 9781483282879
Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference (1992) covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on July 17-19, 1992. The book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence. The selection first offers information on Relative Evidential Support (RES), modal logics for qualitative possibility and beliefs, and optimizing causal orderings for generating DAGs from data. Discussions focus on reversal, swap, and unclique operators, modal representation of possibility, and beliefs and conditionals. The text then examines structural controllability and observability in influence diagrams, lattice-based graded logic, and dynamic network models for forecasting. The manuscript takes a look at reformulating inference problems through selective conditioning, entropy and belief networks, parallelizing probabilistic inference, and a symbolic approach to reasoning with linguistic quantifiers. The text also ponders on sidestepping the triangulation problem in Bayesian net computations; exploring localization in Bayesian networks for large expert systems; and expressing relational and temporal knowledge in visual probabilistic networks. The selection is a valuable reference for researchers interested in artificial intelligence.
Author : Steen Andreassen,Rolf Engelbrecht,Jeremy Wyatt
Publisher : IOS Press
Page : 522 pages
File Size : 52,6 Mb
Release : 1993
Category : Artificial intelligence
ISBN : 905199141X
The knowledge-based management of medical acts in NUCLEUS -- Knowledge Acquisition, Representation & Learning -- Knowledge Representation and Modelling in HYBRIKON -- Knowledge Organisation in Medical KBS Construetion -- A Framework for Modular Knowledge Bases in the Domain of Hypertension Diseases -- KAVAS-2: Knowledge Acquisition, Visualisation and Assessment System -- KAVAS's Framework for quality assessment of medical knowledge -- KAVAS's Conditioning of the Induction Algorithm -- Clinical decision-support in the field of TETANUS serology using an associative storage model implemented in LISP -- Model based learning support to knowledge acquisition: A clinical case study -- MODELS FOR MEDICAL KNOWLEDGE REPRESENTATION AND MEDICAL REASONING IN A C.A.I SYSTEM -- Case Based Reasoning in Clinical Evaluation -- Object-oriented mentality: the most suited paradigm for medical knowledge-based systems -- Applications Based on Neural Nets -- Classification of protein patterns using neural networks: pixel based versus feature based approach -- Evaluation of an epiderniological data set as an example of the application of neural networks to the analysis of large medical data sets -- A Neural Network Modular System for Object Classification in Brain MR Images -- A Neural Network Identifies Faces with Morphological Syndromes -- Grading of Gliomas in Stereotactic Biopsies with Neural Networks -- Self Organizing Maps for the Evaluation of High Resolution ECG -- AUTHOR INDEX
Author : Bozzano G Luisa
Publisher : Academic Press
Page : 541 pages
File Size : 49,5 Mb
Release : 2012-12-02
Category : Computers
ISBN : 9780323139960
Artificial Intelligence in Engineering Design, Volume II: Models of Innovative Design, Reasoning About Physical Systems, and Reasoning About Geometry focuses on the processes, programs, techniques, and technologies involved in the employment of artificial intelligence in engineering design. The selection first takes a look at the automated reuse of design plans in BOGART and ARGO, an analogical reasoning system for solving design problems. Topics include analogy mechanisms in ARGO, analogical reasoning and learning, ARGO development environment, using VEXED to construct a design plan, and how BOGART reuses a design plan. The text then ponders on retrieval strategies in a case-based design system and case-based design, including the functions-to-structure design task in the domain of physical devices, design retrieval, proposition, and modification, and the multi-layered case representation. The publication examines mechanism comparison and classification for design; a case-based approach to the design of mechanical linkages; and studies of heuristic knowledge-based approaches for automated configuration generation and innovation. Topics include applications of stress field estimation to geometric optimization, simplification and abstraction operators, mechanism comparison and classification, linkage synthesis, analytic synthesis techniques, and system architecture. The selection is a valuable reference for readers interested in the use of artificial intelligence in engineering design.
