Context-Aware Rule-Based Expert System Modeling

Iqbal H. Sarker, Alan Colman, Jun Han and Paul Watters
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Iqbal H. Sarker: Swinburne University of Technology
Alan Colman: Swinburne University of Technology
Jun Han: Swinburne University of Technology
Paul Watters: Macquarie University

Chapter Chapter 8 in Context-Aware Machine Learning and Mobile Data Analytics, 2021, pp 129-136 from Springer

Abstract: Abstract An expert system is a computer system that simulates the decision-making abilities of a human expert in artificial intelligence (AI). Expert systems, rather than using traditional procedural code, are structured to solve complex problems by reasoning through sources of knowledge, which are primarily interpreted as if–then rules. In this chapter, we explore primarily on context-aware rule-based expert system modeling, which is considered one of the key AI techniques that can be used to make intelligent decisions and more powerful mobile applications. Hence, we discuss mobile expert system as a knowledge or rule-based modeling, where a set of context-aware rules are extracted from mobile data discussed in earlier chapters. We have also explored how machine learning based context-aware rules can be used in an effective expert system modeling rather than hardcoded rules created by human experts, within the area of context-aware computing and intelligent mobile applications.

Keywords: Mobile data science; Mobile analytics; Machine learning; Rule-based expert system; Context-awareness; Intelligent decision making; Mobile applications (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-88530-4_8

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DOI: 10.1007/978-3-030-88530-4_8

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