Abstract
In this paper we present our work towards creating a model of communication if collectives that is geared towards collective knowledge integration, based on sociological models of social influence. The model allows several different strategies of internalization of knowledge and of forgetting existing knowledge. We test the validity of the model in a general simulation in a multi-agent environment, based on properties of real world group communication derived from sociological literature.
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This research is financially supported by Polish Ministry of Higher Education and Science.
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Maleszka, M. (2019). The Collective-Based Approach to Knowledge Diffusion in Social Networks. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_3
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