Abstract
In social life, actors engage simultaneously in several relations with each other. The complex network of social links in which agents are engaged is fundamental for any realistic simulation of social life. Moreover, not only the existence of multiple-modality paths between agents in a simulation, but also the knowledge that those agents have about the quality and specificity of those links are relevant for the decisions the agents make and the consequences they have both at an individual and at a collective level. Each actor has a context in each of the relations that are represented as support of a simulation. We build on previous work about permeability between those contexts to study the novel notion of context switching. By switching contexts, individuals carry with them their whole set of personal characteristics to a different relation, while abandoning the previous one. When returning to the original context, all previous links are resumed. We apply these notions to a simple game: the consensus game, in which agents try to collectively achieve an arbitrary consensus through simple locally informed peer-to-peer interactions. We compare the results for context switching with results from simulating the simple game and the game with context permeability.
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Antunes, L., Nunes, D., Coelho, H., Balsa, J., Urbano, P. (2009). Context Switching versus Context Permeability in Multiple Social Networks. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds) Progress in Artificial Intelligence. EPIA 2009. Lecture Notes in Computer Science(), vol 5816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04686-5_45
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DOI: https://doi.org/10.1007/978-3-642-04686-5_45
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