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. Safety 2019, 5, 52 2 of 14 people. The occurrences of such disasters initiated a debate regarding viable solutions. The solutions under considerations include introducing strict laws, re-thinking of prevalent industrial practices and adopting a fresh approach to understanding consumer behaviors [8].Stores are usually not the center of attention when it comes to food safety. The main measures within the whole food chain take place before the store level. The assessment and eradication of food contamination, at the consumer level, is usually carried out using food inspection programs in which the food provided by the stores is the center of attention. It is, however, noted that the lack of standards has made the provision of resources for inspection and agreeing upon thresholds for contamination, a real challenge [9,10]. Similarly, the consumers and the psychological factors representing their perceptions [11,12] and attitudes [13] about food quality are also important [10].The systems, which are social in nature, including food supply and consumption, are usually based on societal needs and constraints and they evolve with time. Most of them, however, are not ideal for several reasons, including the diversity of the human race, the inherent imbalance in human reasoning, the gap between scientific knowledge and its impact on individuals in terms of development and flaws in knowledge and judgments.Computational Social Science (CSS) [14] is a comparatively a new field of study, believing in the use of computational procedures for solving social problems. It mimics physical systems by developing their models in such a way that computers understand and compute them. Agent-Based Modeling (ABM) [15] is one of the most widely used techniques for investigating CSS problems. In ABM, the real objects of interest are represented as agents, which provide an abstract representation of characteristics...