The Computer Simulation of Partnership Formation
Rosaria Conte (),
Cristiano Castelfranchi and
Vito Veneziano
Additional contact information
Rosaria Conte: Istituto di Psicologia, Cnr
Vito Veneziano: Istituto di Psicologia, Cnr
Computational and Mathematical Organization Theory, 1998, vol. 4, issue 4, No 1, 293-315
Abstract:
Abstract This paper is intended to present and apply a formal dependence model to a simulation study of partnership formation. Although the emergence and evolution of coalitions is an issue of major concern in the study of organisations, a number of questions are still laid open. How do coalitions emerge? Which processes and mechanisms are responsible for their evolution? The agents‘ informal communications, commitments and negotiations are considered as “given”, and none or poor effort is done to ground them upon the agents‘ self-interests. The philosophy underlying this paper is that the objective relationships of dependence among heterogeneous agents provide a fundamental ground for the emergence of spontaneous coalitions. As long as agents are endowed with different goals and heterogeneous competencies, a structure of social relationships, namely dependence relations, is likely to occur among them. A formal model of dynamic dependence relationships based on the agents‘ individual properties will be used to derive a further agents‘ property, namely their negotiation powers. Through computer simulation, this property will be used to predict how likely each agent in a population will form rewarding partnerships.
Keywords: dependence; heterogeneous agents; partnerships (search for similar items in EconPapers)
Date: 1998
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1023/A:1009632729158 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:comaot:v:4:y:1998:i:4:d:10.1023_a:1009632729158
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10588
DOI: 10.1023/A:1009632729158
Access Statistics for this article
Computational and Mathematical Organization Theory is currently edited by Terrill Frantz and Kathleen Carley
More articles in Computational and Mathematical Organization Theory from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().