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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.
Computing Methodologies -- Artificial Intelligence.
Knowledge systems: principles and practice; A Prolog to Prolog; Programming techniques in prolog; Expert systems in prolog; Natural language processing in prolog; Conclusions; Appendices; Index.
Introducing to Turbo Prolog is a self-teaching guide to Prolog programming with Borland's Turbo Prolog system. Packed with sample programs and practical ideas for Prolog applications, this book is ideal for programmers who are new to the techniques of Artificial Intelligence, and wish to explore the potential of this powerful AI language. The author presents every aspect of Turbo Prolog in detail, from installing the system, to structuring a program, to creating stand-alone applications. Topics include: list processing, file processing and dynamic databases, graphics and sound, debugging procedures, program development tips and techniques, keyboard input and screen I/O, modular programming, arithmetic and string operations, controlling the search for a solution. As you work your way through a structured series of tutorials and exercises, you will master the elements of Turbo Prolog, create sample expert systems, and learn how you can apply Turbo Prlog to complex real-life problems. You'll find: complete sample programs for tasks ranging from medical diagnosis to natural language processing and gaming. A detailed index and complete appendices, including a bibliography, a summary of standard predicates, and a glossary. If you're ready to sample the power of Turbo Prolog, don't pass up this outstanding resource.
Exploring the language of Prolog and expanding on Artificial Intelligence and expert systems, this is a step-by-step tutorial in the basics of Prolog programming. It includes a Prolog command summary and Prolog projects.
Environmental Systems Engineering explains how to use new computerized tools to tackle problems in systems engineering. This book covers: expert systems, fuzzy logic, networks, process dynamics, control and statistical approaches to systems analysis. Computer simulation, mathematical models, and newer methods that apply artificial intelligence and neural networks to environmental problems are emphasized. Each book topic is supported by an interactive web site featuring computer graphics, teaching games and navigational aids. Topics are developed through the use of computer exercises using practical problems as examples.