An optoelectronic expert system for knowledge base systems

Abstract

In this paper a parallel optoelectronic computer architecture is proposed for expert systems in order to achieve high speed and high performance for parallel processing of rule-based systems. The proposed system is modeled and implemented using a two-dimensional space optics symbolic correlator to perform the comparison operations of the expert system. Also in this paper, an optoelectronic system for a parallel inference engine is presented. The proposed optical inference engine is able to perform 3D processing for inferring conclusions to queries by representing knowledge (facts and rules) in 2D space using a matrix-like formulation. The proposed structure of the inference machine is based on ruledriven and query-driven control flows using mapped-template logic. A hardware realization for these systems based on commercially available components is discussed. The performance analysis of the proposed system shows its remarkably improved performance compared with electronic systems.

A High Performance Optoelectronic Machine for Automated Arabic-English Parallel Corpus Creation and for Text Mining Processing

“…In this paper, the technique adopted is storing all the domain downloaded pages in a page oriented holographic memory (POHM) that can be efficiently realized and processed in parallel form. In the proposed system, both optical data and queries are encoded using optical symbolic substitution (coding rules) [20], [21] and Web page contents are encoded in binary matrices (patterns). The search algorithm is implemented using a set of logical operations in parallel.…”

A parallel optical implementation of arithmetic operations

“…Decoding the output, transferring it to the memory, loading the inputs from the memory, and encoding them, in each cycle of the computation for large data planes is a nontrivial task, but is essential for an optical processor. Some authors suggested using external optical memories [24,30,68] (whose integration with the processor may be difficult), or transferring data via electronic buses [24,29,40,41]. In this paper we integrated the memory inside the processor (addressing Tucker's fifth issue about the unavailability of a satisfactory optical memory [69]).…”

“…In fact, the studies for using optics for computing began more than five decades ago [1]. Especially in years 1980-1995, a large number of researchers invested in optical computing and presented several techniques to use optics in parallel processing, such as optical shadow casting [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], optical symbolic substitution [18][19][20][21][22][23][24], and optical vector-matrix multiplication [1,[25][26][27][28][29][30][31]. After this golden age of optical computing, it experienced a slowdown near the end of the last millennium.…”