Swarms dynamics approach to behavioral economy: Theoretical tools and price sequences

Autor: Damián Alejandro Knopoff, Matteo Morini, Nicola Bellomo, Pietro Terna, Sarah de Nigris
Přispěvatelé: Credimi S.p.a.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Statistics and Probability
Computer Science::Computer Science and Game Theory
Computer science
02 engineering and technology
[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]
01 natural sciences
[QFIN.CP]Quantitative Finance [q-fin]/Computational Finance [q-fin.CP]
[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
Development (topology)
Behavioral dynamics
0202 electrical engineering
electronic engineering
information engineering

0101 mathematics
ComputingMilieux_MISCELLANEOUS
[SHS.STAT]Humanities and Social Sciences/Methods and statistics
Applied Mathematics
Active particles
010102 general mathematics
[INFO.INFO-CE]Computer Science [cs]/Computational Engineering
Finance
and Science [cs.CE]

General Engineering
[SHS.ECO]Humanities and Social Sciences/Economics and Finance
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Computer Science Applications
Mathematical theory
Dynamics (music)
Social system
020201 artificial intelligence & image processing
Mathematical economics
Zdroj: Networks & Heterogeneous Media
Networks & Heterogeneous Media, 2020, 15 (3), pp.353-368. ⟨10.3934/nhm.2020022⟩
ISSN: 1556-181X
DOI: 10.3934/nhm.2020022⟩
Popis: This paper presents a development of the mathematical theory of swarms towards a systems approach to behavioral dynamics of social and economical systems. The modeling approach accounts for the ability of social entities are to develop a specific strategy which is heterogeneously distributed by interactions which are nonlinearly additive. A detailed application to the modeling of the dynamics of prices in the interaction between buyers and sellers is developed to describe the predictive ability of the model.
Databáze: OpenAIRE