Expert Systems: Artificial Intelligence in BusinessIntroduces readers to the basic principles and the exciting promise of a new generation of computer programs known as knowledge or expert systems, and their associated technologies. Explains what they do, how they work, and how they will be used to increase efficiency and productivity. Knowledge systems are computer programs that can help solve problems in the same fashion as human experts. Many studies have concluded that in the course of the next 20 years, knowledge systems will revolutionize the way businesses are conducted, and this book provides a preview of how that revolution will occur. |
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Page 87
... PROLOG PROLOG , which stands for PROgramming language for LOGIC , was initially developed in 1972 by A. Colmerauer and P. Roussel at the University of Marseilles . PROLOG is a programming language that implements a simplified version of ...
... PROLOG PROLOG , which stands for PROgramming language for LOGIC , was initially developed in 1972 by A. Colmerauer and P. Roussel at the University of Marseilles . PROLOG is a programming language that implements a simplified version of ...
Page 88
... PROLOG is designed for symbolic rather than simply for numerical computation . PRO- LOG is very efficient at list processing . Similarly , PROLOG is an interpreted language and thus re- sponds to any query by attempting to return an ...
... PROLOG is designed for symbolic rather than simply for numerical computation . PRO- LOG is very efficient at list processing . Similarly , PROLOG is an interpreted language and thus re- sponds to any query by attempting to return an ...
Page 89
... PROLOG , LISP , and POP - 11 into a single package that is friendlier and , when compiled , runs faster than PROLOG or LISP . Undoubtedly we shall see a steadily increasing num- ber of programming environments that will attempt to ...
... PROLOG , LISP , and POP - 11 into a single package that is friendlier and , when compiled , runs faster than PROLOG or LISP . Undoubtedly we shall see a steadily increasing num- ber of programming environments that will attempt to ...
Contents
MYCIN | 16 |
Human Problem Solving | 33 |
Representing Knowledge | 41 |
Copyright | |
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Common terms and phrases
allow applications appropriate-response Artificial Intelligence attributes backward chaining breadth-first search certainty factors chapter clauses companies complex configuration consider consultation paradigms data base David King DENDRAL designed determine diagnosis disease domain edge environment example expert system building expertise facts Figure forward chaining goal GUIDON hardware heuristics human experts implemented inference engine initial IntelliCorp interact INTERLISP knowl knowledge base knowledge engineer language large number LISP LISP machines machine MACSYMA managers media-to-consider memory meningitis ment modus ponens MYCIN objects operating system OPS5 organisms overview package particular patient performance problem solving procedures production rules PROLOG PROSPECTOR prototype PUFF questions reasoning response screen semantic network situation small knowledge system small systems specific stimulus-situation student symbolic system building tools system development task techniques Teknowledge tion user interface values workstations XCON Xerox