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The computer programming language Prolog is quickly gaining popularity throughout the world. Since Its beginnings around 1970. Prolog has been chosen by many programmers for applications of symbolic computation. including: D relational databases D mathematical logic D abstract problem solving D understanding natural language D architectural design D symbolic equation solving D biochemical structure analysis D many areas of artificial Intelligence Until now. there has been no textbook with the aim of teaching Prolog as a practical programming language. It Is perhaps a tribute to Prolog that so many people have been motivated to learn It by referring to the necessarily concise reference manuals. a few published papers. and by the orally transmitted 'folklore' of the modern computing community. However. as Prolog is beginning to be Introduced to large numbers of undergraduate and postgraduate students. many of our colleagues have expressed a great need for a tutorial guide to learning Prolog. We hope this little book will go some way towards meeting this need. Many newcomers to Prolog find that the task of writing a Prolog program Is not like specifying an algorithm in the same way as In a conventional programming language. Instead. the Prolog programmer asks more what formal relationships and objects occur In his problem.
Get started with the simplest, most powerful prolog ever: Visual Prolog If you want to explore the potential of Artificial Intelligence (AI), you need to know your way around Prolog. Prolog - which stands for "programming with logic" - is one of the most effective languages for building AI applications, thanks to its unique approach. Rather than writing a program that spells out exactly how to solve a problem, with Prolog you define a problem with logical Rules, and then set the computer loose on it. This paradigm shift from Procedural to Declarative programming makes Prolog ideal for applications involving AI, logic, language parsing, computational linguistics, and theorem-proving. Now, Visual Prolog (available as a free download) offers even more with its powerful Graphical User Interface (GUI), built-in Predicates, and rather large provided Program Foundation Class (PFC) libraries. A Guide to Artificial Intelligence with Visual Prolog is an excellent introduction to both Prolog and Visual Prolog. Designed for newcomers to Prolog with some conventional programming background (such as BASIC, C, C++, Pascal, etc.), Randall Scott proceeds along a logical, easy-to-grasp path as he explains the beginnings of Prolog, classic algorithms to get you started, and many of the unique features of Visual Prolog. Readers will also gain key insights into application development, application design, interface construction, troubleshooting, and more. In addition, there are numerous sample examples to learn from, copious illustrations and information on helpful resources. A Guide to Artificial Intelligence with Visual Prolog is less like a traditional textbook and more like a workshop where you can learn at your own pace - so you can start harnessing the power of Visual Prolog for whatever your mind can dream up.
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.
Written for those who wish to learn Prolog as a powerful software development tool, but do not necessarily have any background in logic or AI. Includes a full glossary of the technical terms and self-assessment exercises.
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.
After a slow and somewhat tentative beginning, machine vision systems are now finding widespread use in industry. So far, there have been four clearly discernible phases in their development, based upon the types of images processed and how that processing is performed: (1) Binary (two level) images, processing in software (2) Grey-scale images, processing in software (3) Binary or grey-scale images processed in fast, special-purpose hardware (4) Coloured/multi-spectral images Third-generation vision systems are now commonplace, although a large number of binary and software-based grey-scale processing systems are still being sold. At the moment, colour image processing is commercially much less significant than the other three and this situation may well remain for some time, since many industrial artifacts are nearly monochrome and the use of colour increases the cost of the equipment significantly. A great deal of colour image processing is a straightforward extension of standard grey-scale methods. Industrial applications of machine vision systems can also be sub divided, this time into two main areas, which have largely retained distinct identities: (i) Automated Visual Inspection (A VI) (ii) Robot Vision (RV) This book is about a fifth generation of industrial vision systems, in which this distinction, based on applications, is blurred and the processing is marked by being much smarter (i. e. more "intelligent") than in the other four generations.
This book is intended as an introduction to the Prolog language, with an emphasis on one of the most recent versions - Turbo-Prolog.