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The Future of Agent-Based Modeling [PDF]
Eastern Economic Journal, 2016 In this paper, I elaborate on the role of agent-based (AB) modeling for macroeconomic research. My main tenet is that the full potential of the AB approach has not been realized yet. This potential lies in the modular nature of the models, which is bought by abandoning the straitjacket of rational expectations and embracing an evolutionary perspective.
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An Agent-Based Classification Model [PDF]
SSRN Electronic Journal, 2007 The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems.
Feng Gu 0006 +2 more
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Towards an agent-based model for risk-based regulation [PDF]
, 2010 Risk-based regulation has grown rapidly as a component of Government decision making, and as such, the need for an established evidence-based framework for decisions about risk has become the new mantra.
Davies, Gareth J.
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Learning in Agent-based Models [PDF]
Eastern Economic Journal, 2010 In basic economic theory agents are supposed to optimize, given their constraints.This, in situations where they are anonymous, isolated and have no influence overthe constraints with which they are faced. Any intelligent student, coming toeconomics for the first time, finds this unrealistic and several intensive courses,particularly in micro-economics,
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Features of Agent-based Models [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 In Proceedings GaM 2017, arXiv:1712 ...
Reiko Heckel +2 more
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Towards Agent-Based Model Specification of Smart Grid: A Cognitive Agent-Based Computing Approach [PDF]
Interdisciplinary Description of Complex Systems, 2019 A smart grid can be considered as a complex network where each node represents a generation unit or a consumer, whereas links can be used to represent transmission lines. One way to study complex systems is by using the agent-based modeling paradigm. The
Waseem Akram +3 more
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Agent-Based Pedestrian Modeling [PDF]
Environment and Planning B: Planning and Design, 2001 When the focus of interest in geographical systems is at the very fine scale, at the level of streets and buildings for example, movement becomes central to simulations of how spatial activities are used and develop. Recent advances in computing power and the acquisition of fine scale digital data now mean that we are able to attempt to understand ...
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Systems, 2019 Agile processes have been used in software development, with many case studies indicating positive changes in productivity when these processes are used. Agile processes are beginning to be applied to work beyond software-centric systems.
Mitch Bott, Bryan Mesmer
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On the contact tracing for COVID-19: A simulation study
Epidemics, 2023 Background:: Contact tracing is one of the most effective non-pharmaceutical interventions in the COVID-19 pandemic. This study uses a multi-agent model to investigate the impact of four types of contact tracing strategies to prevent the spread of COVID ...
Luděk Berec +11 more
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An Agent-Based Model of Burglary
Environment and Planning B: Planning and Design, 2009 Occurrences 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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