Titlebook: VLSI for Artificial Intelligence; José G. Delgado-Frias,Will R. Moore Book 1989 Kluwer Academic Publishers 1989 CMOS.Hardware.VLSI.algorit

Tincture

Acumen

Simon Lavington,Jerome Robinson,Kai-Yau Mokart-up and as CAD impacts design office procedures other than drafting. Training is also the most difficult cost item to quantify. Even more than the equip­ ment, training - or retraining in the case of professionals in practice - is the key to increased productivity. Recommendations for specific pr

Conscientious

A 32 Bit Processor for Compiled Prologted machines to improve the execution speed. Among the logic programming languages, Prolog is actually the most widely used. For this reason the realization of efficient Prolog machines represents an essential background for the development of AI techniques.

Outshine

Carmel-1: A VLSI Architecture for Flat Concurrent Prologal” tool for programming highly parallel message-based computers. FCP is the language of our multicomputer CARMEL (Computer ARchitecture for Multiprocessing Execution of Logic programs). In this paper we describe CARMEL-1, a high performance uniprocessor component of that parallel architecture.

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VLSI and Rule-Based Systemspart until all literals are satisfied; the . part then indicates how the database should be changed. In more . languages like Prolog, the match is between a goal literal whose truth is unknown, and the . part of a rule. A successful match causes a series of goals from the . part to be solved in a similar manner.

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ovation

背带

VLSI for Artificial Intelligence978-1-4613-1619-0Series ISSN 0893-3405

细菌等

0893-3405 Overview: 978-1-4612-8895-4978-1-4613-1619-0Series ISSN 0893-3405