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Agent‐based models in sociology
WIREs Computational Statistics, 2015This article looks at 20 years of applications of agent‐based models (ABMs) in sociology and, in particular, their explanatory achievements and methodological insights. These applications have helped sociologists to examine agent interaction in social outcomes and have helped shift analyses away from structural and aggregate factors, to the role of ...
BIANCHI, Federico, SQUAZZONI, Flaminio
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Putting the agent in agent-based modeling
Autonomous Agents and Multi-Agent Systems, 2016One of the perquisites of a talk like this is that I get to expound on broad themes. AAMAS is a conference about agents and multiples of agents, so I probably ought to say something about agents. Of course, my position on agents is that I am all for them. Today I'd like to make a case for actually putting agents in agent-based models.
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Agent based modeling of malaria
2014 IEEE Canada International Humanitarian Technology Conference - (IHTC), 2014This work explores the utility of an agent based model (ABM) for studying malaria prevalence and transmission. Malaria is a life-threatening disease caused by Plasmodium parasites that are transmitted to humans through the bites of infected female mosquitoes of the genus Anopheles.
Chathura Illangakoon +2 more
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International Journal of Geographical Information Science, 2006
The convergence of object‐oriented approaches to data modelling within geographic information science together with increasingly fine‐scale data collection approaches and discrete‐event simulations...
Daniel G. Brown 0002, Yichun Xie
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The convergence of object‐oriented approaches to data modelling within geographic information science together with increasingly fine‐scale data collection approaches and discrete‐event simulations...
Daniel G. Brown 0002, Yichun Xie
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An Agent-Based Model of Burglary
Environment and Planning B: Planning and Design, 2009Occurrences of crime are complex phenomena. They are the result of a large number of interrelated elements which can include environmental factors as well as complex human behaviours. Traditionally, crime occurrences have been modelled using statistical techniques, and although such approaches are useful, they face difficulties in providing predictive
Nick Malleson +2 more
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Tutorial on agent-based modeling and simulation
Journal of Simulation, 2006Agent-based modelling and simulation (ABMS) is a relatively new approach to modelling systems composed of autonomous, interacting agents. Agent-based modelling is a way to model the dynamics of complex systems and complex adaptive systems. Such systems often self-organize themselves and create emergent order.
Charles M. Macal, Michael J. North
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KAIZEN for Agent-Based Modeling
2008This paper discusses the importance of continuous activities for improvement to promote the concepts of agent-based modeling of the social simulation to the other scientific communities. Because such a continuous process is similar to the one in manufacturing systems as KAIZEN activities, I utilize the concepts of KAIZEN to describe the prescriptions ...
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Agent-based models of organizations [PDF]
, 2004 An organization is a collection of agents that interact and produce some form of output. Formal organizations - such as corporations and governments - are typically constructed for an explicit purpose though this purpose needn’t be shared by all organizational members.
Myong-Hun Chang, Joseph E Harrington Jr
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Agent-Oriented Modeling and Agent-Based Simulation
2003Agent-oriented modeling of software and information systems and agent-based simulation are commonly viewed as two separate fields with different concepts and techniques. We argue that a sufficiently expressive agent-oriented modeling language for information systems analysis and design should – with some minor extensions – also be usable for specifying
Gerd Wagner 0001, Florin Tulba
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2001
The agent-based systems have emerged from the necessity to manage complexity. Building reliable, maintainable, extensible, and re-usable systems that conform to their specifications requires modeling techniques that support abstraction, structuring, and modularity.
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The agent-based systems have emerged from the necessity to manage complexity. Building reliable, maintainable, extensible, and re-usable systems that conform to their specifications requires modeling techniques that support abstraction, structuring, and modularity.
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