Cell_DEVS: An Approach to Model the Influence of Social Interactions in Human Behavior
Author(s) -
Avneet Behl,
Gabriel Wainer,
Cristina Ruiz-Martín
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.22360/summersim.2018.scsc.030
Subject(s) - devs , computer science , social simulation , human behavior , bounded function , formalism (music) , modeling and simulation , behavioural sciences , human–robot interaction , human–computer interaction , artificial intelligence , robot , simulation , psychology , art , mathematical analysis , musical , mathematics , visual arts , psychotherapist
Human behavior can be influenced by social interactions. The study of how human behavior change has applications in different fields such as marketing, military, psychology, robotics, human-machine interface, anthropology, computational sciences, economics or epidemiology. Applying Modeling and Simulation to study human behavior is encouraged to avoid the long waiting times that takes natural observations of desired events. In our study, we provide a model for human social interaction and influence during a product launch using the Cell-DEVS formalism, the CD++ simulator, Agent-Based Modeling and Bounded Confidence Models. We studied how the size of the market, attributes of an individual and number of people that a human interacts with can affect human behavior.
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