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Author: Dennis Merritt
Publisher: Springer Science & Business Media
ISBN: 1461234263
Category : Computers
Languages : en
Pages : 187
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Book Description
Not long ago" Dennis Merritt wrote one of the best books that I know of about implementing expert systems in Prolog, and I was very glad he published it in our series. The only problem is there are still some unfortunate people around who do not know Prolog and are not sufficiently prepared either to read Merritt's book, or to use this extremely productive language, be it for knowledge-based work or even for everyday programming. Possibly this last statement may surprise you if you were under the impression that Prolog was an "artificial intelligence language" with very limited application potential. Please believe this editor's statement that quite the opposite is true: for at least four years, I have been using Prolog for every programming task in which I am given the option of choosing the language. Therefore, I 'am indeed happy that Dennis Merritt has written another good book on my language of choice, and that it meets the high standard he set with his prior book, Building Expert Systems in Prolog. All that remains for me to do is to wish you success and enjoyment when taking off on your Adventure in Prolog.
Author: Dennis Merritt
Publisher: Springer Science & Business Media
ISBN: 1461234263
Category : Computers
Languages : en
Pages : 187
Get Book Here
Book Description
Not long ago" Dennis Merritt wrote one of the best books that I know of about implementing expert systems in Prolog, and I was very glad he published it in our series. The only problem is there are still some unfortunate people around who do not know Prolog and are not sufficiently prepared either to read Merritt's book, or to use this extremely productive language, be it for knowledge-based work or even for everyday programming. Possibly this last statement may surprise you if you were under the impression that Prolog was an "artificial intelligence language" with very limited application potential. Please believe this editor's statement that quite the opposite is true: for at least four years, I have been using Prolog for every programming task in which I am given the option of choosing the language. Therefore, I 'am indeed happy that Dennis Merritt has written another good book on my language of choice, and that it meets the high standard he set with his prior book, Building Expert Systems in Prolog. All that remains for me to do is to wish you success and enjoyment when taking off on your Adventure in Prolog.
Author: Kenneth A. Bowen
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 376
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Book Description
Designed for undergraduate courses on Expert Systems, PROLOG or introductory Artificial Intelligence, this informally-styled text assumes no background in PROLOG or Logic Programming, but combines an introduction to PROLOG with a mastery of its application to expert systems programming.
Author: Adrian Walker
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 568
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Book Description
Author: Dennis Merritt
Publisher:
ISBN: 9781723821868
Category :
Languages : en
Pages : 239
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Book Description
The machine learning capabilities of today's AI are extremely exciting, but they are only one part of the architecture of today's systems. For example, self-driving car technology uses machine learning to interpret the visual field around a car, but it's good old fashioned rule-based AI that contains the plans on what to do with that information.Similarly, the phenomenal program that plays Go at a master level uses machine learning to evaluate board positions (very difficult for a machine to do) but uses conventional AI for deciding what to do with that information.Written a number of years ago, Building Expert Systems in Prolog is still a classic text on knowledge engineering. The name might be a bit misleading, as it's not so much about building expert systems, but rather on building the knowledge representation and reasoning engine tools used for various types of expert system applications. (Including, of course, examples of each kind of system.)As such, it provides details and working code for identification systems, systems that need to cope with uncertainty, forward-chaining planning and configuration systems, frames for representing complex layers of information, and ideas for prototyping/implementing any way of representing knowledge and algorithms for reasoning over that knowledge.The text is a bit more general than just a Prolog text. Yes, all the code for implementing these systems is written in Prolog, but Prolog is more than just an implementation language. Because it is logic programming, a Prolog program is really a logical specification of an application. Yes it runs, but it can also be used for rapid prototyping, and the Prolog code itself can be used to precisely specify how to implement the system in any other language.In other words, the architectures of these systems will be the same, no matter what language they are implemented in, and the use of Prolog for rapid prototyping is covered in the book as well.
Author: David Callear
Publisher: Cengage Learning Business Press
ISBN: 9781844801121
Category : Computers
Languages : en
Pages : 249
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Book Description
This book covers all that is needed by students on a one-year introductory Prolog course at first or second year degree level. It introduces Prolog to students as simply and painlessly as possible. Where Artificial Intelligence (AI) topics are introduced, they are easier ones and are treated simply. This book is Prolog for Students, with examples from AI, not a book on AI using Prolog. The text assumes access to a suitable, good, Prolog interpreter, such as LPA Prolog. It also assumes that students with an aptitude for research will follow it up with more advanced study, perhaps a third or fourth year option, and further reading suggestions are included. The book is organised with the basics of the subject introduced first, and covered gradually, so they can be fully understood before moving on to harder topics. The topics that students find more difficult, such as recursion and lists, are not covered until about half way through the book. There are many in-text questions, student self-testing questions and programming practice exercises throughout the book. If used to accompany a taught course, the material of one chapter can be covered in each week. This book covers all that is needed by students on a one-year introductory Prolog course at first or second year degree level. It introduces Prolog to students as simply and painlessly as possible. Where Artificial Intelligence (AI) topics are introduced, they are easier ones and are treated simply. This book is Prolog for Students, with examples from AI, not a book on AI using Prolog. The text assumes access to a suitable, good, Prolog interpreter, such as LPA Prolog. It also assumes that students with an aptitude for research will follow it up with more advanced study, perhaps a third or fourth year option, and further reading suggestions are included. The book is organised with the basics of the subject introduced first, and covered gradually, so they can be fully understood before moving on to harder topics. The topics that students find more difficult, such as recursion and lists, are not covered until about half way through the book. There are many in-text questions, student self-testing questions and programming practice exercises throughout the book. If used to accompany a taught course, the material of one chapter can be covered in each week.
Author: I. Gupta
Publisher: Mercury Learning and Information
ISBN: 1683925068
Category : Computers
Languages : en
Pages : 454
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Book Description
This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks. It provides a general introduction to the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems: problems and state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog. Features: Introduces the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. Includes a separate chapter on Prolog to introduce basic programming techniques in AI
Author: David W. Rolston
Publisher: McGraw-Hill Companies
ISBN: 9780070536142
Category : Computers
Languages : en
Pages : 280
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Book Description
Computing Methodologies -- Artificial Intelligence.
Author: Michael A. Covington
Publisher:
ISBN: 9780131386457
Category : Prolog (Computer program language)
Languages : en
Pages : 0
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Book Description
Appropriate for courses in artificial intelligence, computer science, logic programming, and expert systems. Can be used as supplemental text in courses in computational linguistics (natural language processing). This text covers the Prolog programming language thoroughly with an emphasis on building practical application software, not just theory. Working through this book, students build several types of expert systems, as well as natural language processing software and utilities to read foreign file formats. This is the first book to cover ISO Standard Prolog, but the programs are compatible with earlier dialects of the language. Program files are available by FTP from The University of Georgia.
Author: Paul Harmon
Publisher: Wiley
ISBN: 9780471839507
Category : Computers
Languages : en
Pages : 289
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Book Description
The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.
Author: T.J. Kim
Publisher: Springer
ISBN: 9781461279761
Category : Computers
Languages : en
Pages : 268
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Book Description
***e FACHGEBIET*** Mathematical Geology, Computer Applications, Artificial Intelligence, Urban Economics and Regional Economics ***INTERESSENTENGRUPPE*** Of interest to Urban and Regional planners, civil engineers, geographers; computer scientists; operations researchers; landscape architects; and advanced students in the above disciplines.- Level: Technical Book, Monograph ***URHEBER*** T.J. Kim, University of Illinois, Champaign, IL; L.L. Wiggins, Massachusetts Institute of Technology, Cambridge, MA; J.R. Wright, Purdue University, Lafayette, IN (Eds.) ***TITEL*** Expert Systems: Applications to Urban Planning ***BIBLIOGRAPHISCHE-ANGABEN*** 1990. XIV, 268 pp. 48 figs. Hardcover DM 78,- ISBN 3-540-97171-8 ***LANGTEXT*** While expert systems have become a popular topic in the computing, medical and engineering fields, the expert system is still a new technology in urban planning. This book introduces expert systems for problem solving in urban planning and describes the way in which heuristic knowledge and rules of thumb of expert planners can be represented through computer programs. The book presents practical applications of expert systems for solving many important urban planning problems, particularly those issues that many practicing planners face in their daily operations. Problems and issues discussed are grouped in the following categories: - Land Use Planning - Transportation Planning - Site Selection and Analysis - Environmental Planning - Conflict Mediation and Legal Disputes - Future Developments and Directions Expert Systems: Applications to Urban Planning will benefit both urban planners who wish to learn how this new technology might be applied to their daily work as well as researchers in expert systems seeking new ideas for systems design.
