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Issue No.04 - July (1992 vol.3)
pp: 397-410
ABSTRACT
The semantic network array processor (SNAP), a highly parallel architecture targeted to artificial intelligence applications, and in particular natural language understanding, is presented. The knowledge is represented in a form of the semantic network. The knowledge base is distributed among the elements of the SNAP array, and the processing is performed locally where the knowledge is stored. A set of powerful instructions specific to knowledge processing is implemented directly in hardware. SNAP is packaged into 256 custom-designed chips assembled on four printed circuit boards and can store a 16 K node semantic network. SNAP is a marker propagation architecture in which the movement of markers between cells is controlled by propagation rules. Various reasoning mechanisms are implemented with these marker propagation rules.
INDEX TERMS
Index Termsknowledge representation; knowledge storage; market-propagation architecture;knowledge processing; semantic network array processor; parallel architecture; artificialintelligence; natural language understanding; knowledge base; SNAP; custom-designedchips; printed circuit boards; reasoning mechanisms; marker propagation rules; 16 kB;knowledge based systems; knowledge representation; natural languages; parallelarchitectures
CITATION
D. Moldovan, W. Lee, C. Lin, "SNAP: A Market-Propagation Architecture for Knowledge Processing", IEEE Transactions on Parallel & Distributed Systems, vol.3, no. 4, pp. 397-410, July 1992, doi:10.1109/71.149959
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