Changing knives into spoons

Huddleston, Samuel H.; Learmonth, Gerard P.; Fox, Jon E

doi:10.1109/sieds.2008.4559721

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Agent-based simulation models are increasingly used to model the complex dynamics of resource allocation problems in security applications. Examples include optimizing the location of combat outposts in counterinsurgency (Huddleston, Learmonth, and Fox 2008), examining the use of unmanned surface vehicles for securing Navy ships (Cioppa, Lucas, and Sanchez 2004), and emergency management in disaster response (Wu, Shuman, and Bidanda 2008). Agent-based modeling provides the ability to accurately represent the behaviors of these complex systems by modeling the interactions of the agents of the system.…”

Section: Agent-based Simulation Model Methodsmentioning

confidence: 99%

A comparison of evaluation methods for police patrol district designs

Zhang¹,

Huddleston²,

Brown³

et al. 2013

2013 Winter Simulations Conference (WSC)

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Police patrol district design presents a multi-objective optimization problem with two goals: minimizing workload variation between patrol districts and minimizing the response time for officers responding to calls for service. We evaluate three different methods for scoring district designs: a closed form probability based approach, a discrete-event simulation based on hypercube models for spatial queuing systems, and an agent-based simulation model. We find that all methods provide similar evaluations when service demand is low enough that cross-boundary support is infrequent. However, when the demand for service routinely exceeds the supply available within districts, only the agent-based simulation model accurately represents the resulting complexities and significantly changes the evaluation scores to reflect the behavior of the system.

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Section: Agent-based Simulation Model Methodsmentioning

confidence: 99%

A comparison of evaluation methods for police patrol district designs

Zhang¹,

Huddleston²,

Brown³

et al. 2013

2013 Winter Simulations Conference (WSC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, the technique is seeing a growing use in modelling crimes where geography is secondary to social organisa-tion, e.g. gang crime and civil violence (Lustick 2006;Huddleston et al 2008;Bhavnani et al 2008;Cherif et al 2009;Egesdal et al 2010). Some of the ethical issues facing agent-based modellers of crime are explored by Evans (2012).…”

Section: Agent-based Models (Abms) Of Crimementioning

confidence: 99%

Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars

Malleson

See

Evans

et al. 2013

Intelligent Systems Reference Library

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Agent-based methods are one approach for modelling complex social systems but one issue with these models is the large number of parameters that require estimation. This chapter examines the effect of using a genetic algorithm (GA) for the parameter estimation of an agent-based model (ABM) of burglary. One of the main issues encountered in the implementation was the computation time required to run the algorithm. Nevertheless a set of preliminary results were obtained, which indicated that visibility is the most important parameter in the decision of whether to burgle a house while accessibility was the least important. Such tools may eventually provide the means to gain a greater understanding of the factors that determine criminological behaviour.http://dx

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Using Temporal Indicator Functions with Generalized Linear Models for Spatial-Temporal Event Prediction

Fox

Brown

2012

Procedia Computer Science

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Changing knives into spoons

Cited by 3 publications

References 9 publications

A comparison of evaluation methods for police patrol district designs

A comparison of evaluation methods for police patrol district designs

Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars

Using Temporal Indicator Functions with Generalized Linear Models for Spatial-Temporal Event Prediction

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