Everything you need to know about agent-based modelling and simulation

This paper addresses the background and current state of the field of agent-based modelling and simulation (ABMS). It revisits the issue of ABMS represents as a new development, considering the extremes of being an overhyped fad, doomed to disappear, or a revolutionary development, shifting fundamen...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of simulation : JOS Ročník 10; číslo 2; s. 144 - 156
Hlavní autor: Macal, C M
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis 01.05.2016
Palgrave Macmillan UK
Taylor & Francis Ltd
Témata:
agent-based modeling and simulation
Business and Management
computational social simulation
Curricula
Information Systems and Communication Service
modeling human behavior
Monte Carlo simulation
multi-agent system
Operations management
Operations Research/Decision Theory
Original Article
R&D
Research & development
Simulation and Modeling
multi-agent system
computational social simulation
modeling human behavior
agent-based modeling and simulation
ISSN:1747-7778, 1747-7786
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper addresses the background and current state of the field of agent-based modelling and simulation (ABMS). It revisits the issue of ABMS represents as a new development, considering the extremes of being an overhyped fad, doomed to disappear, or a revolutionary development, shifting fundamental paradigms of how research is conducted. This paper identifies key ABMS resources, publications, and communities. It also proposes several complementary definitions for ABMS, based on practice, intended to establish a common vocabulary for understanding ABMS, which seems to be lacking. It concludes by suggesting research challenges for ABMS to advance and realize its potential in the coming years.
Bibliografie:SourceType-Scholarly Journals-1
ObjectType-News-1
content type line 14
AC02-06CH11357
Argonne National Laboratory
ISSN:1747-7778
1747-7786
DOI:10.1057/jos.2016.7