By Alan Bundy, Lincoln Wallen (auth.), Alan Bundy, Lincoln Wallen (eds.)
The goal of this catalogue is to advertise interplay among individuals of the AI' neighborhood. it is going to do that via saying the life of Ai thoughts and transportable software program. and performing as a pOinter into the literature. hence the AI neighborhood wili have entry to a standard. extensional definition of the sphere. to be able to: advertise a typical terminology. discourage the reinvention of wheels. and act as a clearing residence for ideas and software program. The cataiogue is a reference paintings offering a brief advisor to the AI instruments on hand for various jobs. it isn't meant to be a textbook just like the synthetic Intelligence instruction manual. It. deliberately. simply offers a short description of every device. with out prolonged dialogue of the old foundation of the software or the way it has been utilized in specific AI courses, the focal point is on thoughts abstracted from their old origins. the unique model of undefined. used to be rapidly in-built 1983 as a part of the united kingdom SERC-Dol. IKBS. structure examine [lKBS structure learn 831. it has now been followed by way of the SERC specifically Promoted Programme in IKBS and is saved as an on line rfile present process consistent revision and refinement and released as a paperback via Springer Verlag.
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Hillis. O. The ConnectIon Machine. AI Memo 646. MIT. September. 1981. CONNIVER CONNIVER was developed by Sussman and McDermott in response to the shortcomings of PLANNER <143>. It is implemented in MACLISP <132>. CONNIVER provides various control primitives to allow the programmer to specify more flexible control regimes. Perhaps the most important contributions of CONNIVER are the context and coroutining primitives that it provides. 20 CONNIVER supports all the PLANNER data structures and in addition provides the user with context tags and possibility lists.
North-Holland. 1975. CONNECTION MACHINE The connection machine is a special architecture being developed at MIT for concurrently manipulating knowledge stored In semantic networks <227>. The connection machine avoids the problems of manipulating semantic nets on a sequential machine by giving each node and link in the network its own simple processor. The connection machine is not intended for use as a general-purpose parallel computer. but to be very fast at a few simple operations that are important for Artificial Intelligence applications (e.
This can lead to unbound variables in the action side. and it is desirabie to inciude additional conditions in the generalised ruie which wlli instantiate these variables. Suppose the generalization resulted from two rules with identical forms but differing constant terms. If one also has a iong-term declarative memory available. then one can search through this memory for relations between differing symbols in the action sides of the specific ruies and differing symbols in their condition sides.