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Open AccessArticle

Agent-Based Modeling of a Self-Organized Food Safety System

by Kashif Zia 1,†, Umar Farooq 2,† and Arshad Muhammad 1,*,†
Faculty of Computing & Information Technology, Sohar University, Sohar 311, Oman
Department of Computer Science, University of Science and Technology, Bannu 28100, Pakistan
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Safety 2019, 5(3), 52;
Received: 10 June 2019 / Revised: 14 July 2019 / Accepted: 7 August 2019 / Published: 12 August 2019
“The wisdom of crowds” is often observed in social discourses and activities around us. The manifestations of it are, however, so intrinsically embedded and behaviorally accepted that an elaboration of a social phenomenon evidencing such wisdom is often considered a discovery; or at least an astonishing fact. One such scenario is explored here, namely, the conceptualization and modeling of a food safety system—a system directly related to social cognition. The first contribution of this paper is the re-evaluation of Knowles’s model towards a more conscious understanding of “the wisdom of crowds” effects on inspection and consumption behaviors. The second contribution is augmenting the model with social networking capabilities, which acts as a medium to spread information about stores and help consumers find uncontaminated stores. Simulation results revealed that stores respecting social cognition improve the effectiveness of the food safety system for consumers as well as for the stores. Simulation findings also revealed that active societies have the capability to self-organize effectively, even if they lack regulatory obligations. View Full-Text
Keywords: food safety; agent-based model; social networking; recommendation; the wisdom of crowds food safety; agent-based model; social networking; recommendation; the wisdom of crowds
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Zia, K.; Farooq, U.; Muhammad, A. Agent-Based Modeling of a Self-Organized Food Safety System. Safety 2019, 5, 52.

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