Abstract
This article aims to theorize and explore the distribution problem in the context of self-organizing open systems when they exhibit social behaviors that can be modeled and formalized, applying the interactive decision theory. In this context, the whole system structure is trying to achieve a stable cooperative state at the same time they aim to satisfy the interests of each individual and reach a certain level of social welfare. We analyze these scenarios evaluating the system stability through a formal analysis of coalitional and non-cooperative games and the notions of collective actions and robustness. We used socially inspired computing to propose a negotiation method that allows the members of the system to cooperate and manage common-pool resources without any central controller or other orchestration forms. The model was evaluated using four quantitative moral metrics through simulation techniques. The result showed how a system influenced by ethical behaviors exhibited higher efficiency, symmetry, and invariance over time.
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Latorre, J.F., Ospina, J.P., Sánchez, J.F., Collazos-Morales, C. (2020). A Coalitional Approach for Resource Distribution in Self-organizing Open Systems. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12249. Springer, Cham. https://doi.org/10.1007/978-3-030-58799-4_34
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