By Patrick Henry Winston, Karen A. Prendergast
What's the final analysis on man made Intelligence? "The AI enterprise deals a complete precis of the industrial photograph, current and destiny, for synthetic Intelligence within the laptop undefined, medication, the oil undefined, and digital layout. AI's brightest and most sensible - financiers, researchers, and clients - examine present initiatives, speculate on traits in manufacturing unit automation, evaluate learn in Japan and the united states, and word the professionals and cons of funding possibilities. Contents: "Expert structures. Amplifying services with professional structures, Randall Davis (MIT). XCON: a professional Configuration method at electronic gear company, Arnold Kraft (DEC). DIPMETER consultant: a professional emblem research method at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental specialist process for clinical prognosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low street, the center highway, and the excessive street, John Seely Brown (Xerox). "Work and Play. Inventing the longer term, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy platforms Corporation). The Programmer's Apprentice, Charles wealthy (MIT). clever Advisory structures, Roger Schank (Cognitive structures, Inc. and Yale University). traditional Language entrance Ends, Larry R. Harris (Artificial Intelligence Corporation). "Robotics. "Intelligent Robots: Connecting notion to motion, ). Michael Brady (MIT). clever Robots: relocating towards Megassembly, Philippe Villers (Automatix, Inc.). clever Robots: delusion or fact, Paul M. Russo (GE). "Today and the following day. the issues and the Promise, Marvin Minsky (MIT). An funding chance? Frederick R. Adler (Adler & Company). Financing the long run, William H. Janeway (F. Eberstadt& Co., Inc.) From the Blocks international to the company global, Patrick H. Winston and Karen A. Prendergast (MIT). the right way to examine extra.
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0] This will aid in determining the identity ORGANISM-1. 1] the morphology of ORGANISM-! 2] the gram stain of ORGANISM-! 2) that the identity of ORGANISM-1 is pseudomonas [RULE050] MYCIN was using rule 50 and already had certain information about the patient. If the physician adds this fact, then MYCIN will know whether this· rule will fire. If it does fire, MYCIN will have more information about the topic that it is dealing with. COLI? I used rule 084 to conclude that the identity of ORGANISM-!
If the two are intermixed, domain knowledge will get spread out through the inference engine, and it becomes less clear what we ought to change to improve the system. The result is a less flexible system. is uniformity of representation. This cuts down the number of mechanisms required, keeping system design simpler and more transparent. Each time a new representation is added to the system, something else in the system has to be able to handle it, has to know its synt~ or semantics to be able to use it.
XCON's explanations are at the end, explaining why a component was used or changed. The important thing is that the explanation is somewhere. -A lot of missionary work is still needed. Since Artificial Intelligence is not yet part of management culture, there is a lot of selling to management to be done. Sitting at the Masters' Feet It is important to have a mature expert, capable of describing how he does the job. A large amount of human expertise must be captured in a typical effort. When Digital developed XCON, the knowledge engineers listened for hours to an expert telling us about his knowledge, until we thought we knew everything.
Artificial Intelligence Business: Commercial Uses of Artificial Intelligence by Patrick Henry Winston, Karen A. Prendergast