Abstract
In computer science, multi-agent systems are a relatively new sub-field composed of numerous interconnected computing elements known as agents. To satisfy their design intents, they can take decisions for themselves, i.e., they are capable to take autonomous decisions. Also, these agents are capable of communicating with other agents not only by commuting data but also by engaging in similar the kind of social activities that we all engage in every day of our lives, like, association, coordination, and the like. Social behavior is behavior among two or more organisms inside the identical species and encompasses any conduct wherein one member affects the other. For example, the interaction of two or more humans or organizations governed toward a common goal that is mutually beneficial. Whereas, social reasoning involves the propensity to illustrate inferences about others’ intentions, mentality, and actions or activities, in order to synchronize one’s own behaviors. In this chapter, we have developed a region-specific vaccination method using multi-agent framework. We have taken the help of the Mamdani fuzzy inference system to build this multi-agent framework.
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Bhattacharya, I., Mondal, S., Gupta, S. (2022). Social Behavior and Reasoning Through Multi-Agent Systems. In: Gupta, S., Banerjee, I., Bhattacharyya, S. (eds) Multi Agent Systems. Springer Tracts in Human-Centered Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-0493-6_3
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