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On Supporting Associative Access and Processing over Dynamic Knowledge Bases

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Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Architectures & Languages. Pages 48-54.

Abstract

Dynamic knowledge bases are a fact oflife in many artificial intelligence applications. Using current techniques, however, it is not always possible to provide the desired level of associative access to them whilst meeting real-time, or even near-real-time, performance criteria. This paper argues the case for a hardware associative storage system that uses symbolic pattern matching as its access mechanism. A working prototype of such a system, designed as a co-processor for a workstation host, is then described. The coprocessor is based on an array of custom designed VLSI 'smart memory' chips. These combine storage and search/processing logic on the same die. Parallelism is exploited both on chip and between chips to yield a high system performance. The paper concludes with some examples of how this hardware can be used to support real applications.

Ian N. Robinson. 1991. On Supporting Associative Access and Processing over Dynamic Knowledge Bases. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91. IJCAI, 48–54. https://ijcai.org/proceedings/1991/8
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