Citing this article

A standard form of citation of this article is:

Bandini, Stefania, Manzoni, Sara and Vizzari, Giuseppe (2009). 'Agent Based Modeling and Simulation: An Informatics Perspective'. Journal of Artificial Societies and Social Simulation 12(4)4 <http://jasss.soc.surrey.ac.uk/12/4/4.html>.

The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:

@article{bandini2009,
title = {Agent Based Modeling and Simulation: An Informatics Perspective},
author = {Bandini, Stefania and Manzoni, Sara and Vizzari, Giuseppe},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {12},
number = {4},
pages = {4},
year = {2009},
URL = {http://jasss.soc.surrey.ac.uk/12/4/4.html},
keywords = {Multi-Agent Systems, Agent-Based Modeling and Simulation},
abstract = {The term computer simulation is related to the usage of a computational model in order to improve the understanding of a system's behavior and/or to evaluate strategies for its operation, in explanatory or predictive schemes. There are cases in which practical or ethical reasons make it impossible to realize direct observations: in these cases, the possibility of realizing 'in-machina' experiments may represent the only way to study, analyze and evaluate models of those realities. Different situations and systems are characterized by the presence of autonomous entities whose local behaviors (actions and interactions) determine the evolution of the overall system; agent-based models are particularly suited to support the definition of models of such systems, but also to support the design and implementation of simulators. Agent-Based models and Multi-Agent Systems (MAS) have been adopted to simulate very different kinds of complex systems, from the simulation of socio-economic systems to the elaboration of scenarios for logistics optimization, from biological systems to urban planning. This paper discusses the specific aspects of this approach to modeling and simulation from the perspective of Informatics, describing the typical elements of an agent-based simulation model and the relevant research.},
}

The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.


TY - JOUR
TI - Agent Based Modeling and Simulation: An Informatics Perspective
AU - Bandini, Stefania
AU - Manzoni, Sara
AU - Vizzari, Giuseppe
Y1 - 2009/10/31/
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 12
IS - 4
SP - 4
UR - http://jasss.soc.surrey.ac.uk/12/4/4.html
KW - Multi-Agent Systems
KW - Agent-Based Modeling and Simulation
N2 - The term computer simulation is related to the usage of a computational model in order to improve the understanding of a system's behavior and/or to evaluate strategies for its operation, in explanatory or predictive schemes. There are cases in which practical or ethical reasons make it impossible to realize direct observations: in these cases, the possibility of realizing 'in-machina' experiments may represent the only way to study, analyze and evaluate models of those realities. Different situations and systems are characterized by the presence of autonomous entities whose local behaviors (actions and interactions) determine the evolution of the overall system; agent-based models are particularly suited to support the definition of models of such systems, but also to support the design and implementation of simulators. Agent-Based models and Multi-Agent Systems (MAS) have been adopted to simulate very different kinds of complex systems, from the simulation of socio-economic systems to the elaboration of scenarios for logistics optimization, from biological systems to urban planning. This paper discusses the specific aspects of this approach to modeling and simulation from the perspective of Informatics, describing the typical elements of an agent-based simulation model and the relevant research.
ER -