Pregled bibliografske jedinice broj: 804842
An Overview of Multi-Agent Simulation In Organizations
An Overview of Multi-Agent Simulation In Organizations // Encyclopedia of Information Science and Technology, Third Edition / Khosrow-Pour, Mehdi (ur.).
Hershey (PA): IGI Global, 2015. str. 1221-1221
CROSBI ID: 804842 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An Overview of Multi-Agent Simulation In Organizations
Autori
Vlahović, Nikola ; Čerić, Vlatko
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, pregledni
Knjiga
Encyclopedia of Information Science and Technology, Third Edition
Urednik/ci
Khosrow-Pour, Mehdi
Izdavač
IGI Global
Grad
Hershey (PA)
Godina
2015
Raspon stranica
1221-1221
ISBN
9781466658882
Ključne riječi
imulation, multi-agent systems, agent based modeling and simulation
Sažetak
Most economic and business systems are complex, dynamic, and non-deterministic systems. Different modeling techniques have been used for representing real life economic and business organizations either on a macro level (such as national economics) or micro level (such as business processes within a firm or strategies within an industry). Even though general computer simulation was used for modeling various systems (Zeigler, 1976) since 1970’ s the limitation of computer resources did not allow for in-depth simulation of dynamic social phenomena. The dynamics of social systems and impact of the behavior of individual entities in social constructs were modeled using mathematical modeling or system dynamics. With the growing interest in multi agent systems that led to its standardization in the 1990’ s, multi agent systems were proposed for the use of modeling social systems (Gilbert & Conte, 1995). Multi agent simulation was able to provide a high level disintegration of the models and proper treatment of inhomogeneity and individualism of the agents, thus allowing for simulation of cooperation and competition. A number of simulation models were developed in the research of biological and ecological systems such as models for testing the behavior and communication between social insects (bees and ants). Artificial systems for testing hypothesis about social order and norms as well as ancient societies (Kohler et al. 2005) were also simulated. Since then agent based modeling and simulation (ABMS) established itself as an attractive modeling technique (Moss & Davidsson, 2001 ; Klügl, 2001). Numerous software toolkits were released, such as Swarm, Repast, MASON and SeSAm. These toolkits make agent based modeling easy enough to be attractive to practitioners from a variety of subject areas dealing with social interactions. They make agent based modeling accessible to a large number of analysts with less programming experience.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb