394. OR behind modeling and simulation of social-behavioral phenomena
Invited abstract in session WA-1: Leonidas Sakalauskas, stream Keynotes.
Wednesday, 8:30-10:00Room: Great Hall
Authors (first author is the speaker)
| 1. | Leonidas Sakalauskas
|
| Vytautas Magnus University |
Abstract
The application of digital models to study social sciences and humanities issues has been undergoing rapid development during the last decades. It is natural to assume that in the current historical time when many delicate socio-political and technogenic challenges have to be dealt, it is essential to resort to OR to overcome them. The paradigm for understanding today’s social-behavioral phenomena is created and studied based on digital operationalization, multi-agent modeling, neutrosophy, structural equation modeling (SEM), and reflexive game theory. The “tragedy of the commons” in physical and digital spaces (G. Hardin, 1968, G.M. Greco and L. Floridi, 2004) is taken as a subject for consideration, emphasizing the role of consensus among agents (individuals, users, customers) regarding their collective decision making. The role of cybernetic law of requisite variety and impossibility theorems (including Arrow and Fisher-Lynch-Paterson theorems), is explored in constructing consensus algorithms (V. Gisin, 2023). Conjectures, the solution of which opens the way to solving the challenges of social-behavioral phenomena using evidence-based tools, are formulated and discussed as well.
Keywords
- Game Theory
Status: accepted
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