Jealousy in Cooperation — A Comparison of Two Game-Based Approaches

F. Barachini () and M. Bornemann ()
Additional contact information
F. Barachini: BIC-Austria, Bisamberggasse 14, 2103 Langenzersdorf, Austria
M. Bornemann: Intangible Assets Consulting, Dr. Anton Schlossar Weg 16, 8010 Graz, Austria

Journal of Information & Knowledge Management (JIKM), 2020, vol. 19, issue 02, 1-14

Abstract: We are interested in the question of how jealousy influences the dynamics of populations. In a previous paper, we investigated the impact of power and jealousy on cooperation. By using intelligent agents, a stochastic updating process has been used, so that artificial agent populations could be modelled. In this paper, we investigate update procedures based on deterministic dynamics for populations arranged in a lattice. Compared to stochastic processes, our findings show that populations behave and react far more dynamically, in certain parameter regions, when spatial cooperation is applied.

Keywords: Game theory; artificial agents; cooperation; spatial and stochastic analysis (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649220500148
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:19:y:2020:i:02:n:s0219649220500148

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649220500148

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().