Assessment of the comparative efficiency of software‐based Boolean, electronic, software‐based fractional value and simplified quantum principal expert systems. Issue 4 (11th November 2021)

• Record Type: Journal Article
• Authors: Straub, Jeremy
• Other Names: Chang Victor guestEditor.; Ramachandran Muthu guestEditor.; Li Chung‐Sheng guestEditor.; Zamorano Mariano Rincón guestEditor.; Tomás Rafael Martínez guestEditor.; Vicente José Manuel Ferrández guestEditor.
• Is Part Of: Expert systems. Volume 39:Issue 4(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-11-11
• Subjects: assessment -- back chaining -- efficacy -- electronic -- expert systems -- fractional value -- mixed chaining -- performance -- quantum; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12880
• Languages: English
• ISSNs: 0266-4720

Abstract

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.