Assessment of the comparative efficiency of software‐based Boolean, electronic, software‐based fractional value and simplified quantum principal expert systems

Abstract

Software‐based expert systems typically use an iterative algorithm for rule‐fact network processing. However, other approaches to expert system implementation also exist. This paper proposes simplified quantum principle expert systems and compares the computational efficiency and comparative efficacy of four types of expert systems: software‐based Boolean expert systems, electronic (gate‐based) expert systems, software‐based fractional value (SBFV) expert systems and simplified quantum principal expert systems (SQPES). For two expert system types, software‐based Boolean and SBFV, back chaining and mixed changing techniques, respectively, are also evaluated. The performance of these systems approaches is compared quantitatively, and the efficacy of the different systems types are compared both qualitatively and quantitatively.

Implementation of Hardware-Based Expert Systems and Comparison of Their Performance to Software-Based Expert Systems

“…Hardware-based expert systems were proposed in [21] and discussed in [22]. Their performance was also projected in [22].…”

“…Hardware-based expert systems were proposed in [21] and discussed in [22]. Their performance was also projected in [22]. While there are variations between hardware and software expert system implementations, a significant similarity exists between the rule-fact network structure of an expert system and circuits created using electronic AND-gates [21].…”

“…One approach to removing these limitations is to implement expert systems in hardware where the rule execution logic can be performed truly in parallel (as opposed to simulated parallelism through timesharing or similar techniques). It has been proposed [21,22] that hardware-based gates be used in place of creating software-based rule-fact networks. The prior work [21,22], though, did not implement or validate hardware expert systems' efficacy or performance.…”

“…It has been proposed [21,22] that hardware-based gates be used in place of creating software-based rule-fact networks. The prior work [21,22], though, did not implement or validate hardware expert systems' efficacy or performance. This paper's objective is to demonstrate the functionality and characterize the performance of hardware-based expert systems and to compare them to software-based ones.…”

“…This paper's objective is to demonstrate the functionality and characterize the performance of hardware-based expert systems and to compare them to software-based ones. The contributions of this paper are the demonstration of the implementation of a hardware expert system (which was theorized, but not implemented, in prior work [21,22]), and the validation of their efficacy and the assessment of their performance. To this end, limitations on hardware expert systems network sizes are explored.…”