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dc.contributor.authorBirks, Daniel
dc.contributor.authorTownsley, Michael
dc.contributor.editorRichard Wortley, Aiden Sidebottom, Nick Tilley, Gloria Laycock
dc.date.accessioned2019-02-04T03:15:32Z
dc.date.available2019-02-04T03:15:32Z
dc.date.issued2019
dc.identifier.isbn9781135981730
dc.identifier.doi10.4324/9780203431405
dc.identifier.urihttp://hdl.handle.net/10072/382288
dc.description.abstractThis chapter provides an introduction to the application of agent-based modelling for the purposes of policy decision-support in the context of addressing crime problems. It outlines key attributes of the agent-based approach and discusses how simulation experiments can support and extend theoretical and empirical work in the field of crime science. Subsequently, it presents an illustrative agent-based model capable of evaluating the effectiveness of varying police calls for service despatch strategies.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherRoutledge
dc.publisher.placeUnited Kingdom
dc.publisher.urihttps://www.taylorfrancis.com/books/9780203431405/chapters/10.4324/9780203431405-25
dc.relation.ispartofbooktitleRoutledge Handbook of Crime Science
dc.relation.ispartofchapter23
dc.relation.ispartofpagefrom334
dc.relation.ispartofpageto349
dc.subject.fieldofresearchPolice Administration, Procedures and Practice
dc.subject.fieldofresearchcode160205
dc.titleAgent-based decision-support systems for crime scientists
dc.typeBook chapter
dc.type.descriptionB1 - Chapters
dc.type.codeB - Book Chapters
gro.facultyArts, Education & Law Group, School of Criminology and Criminal Justice
gro.hasfulltextNo Full Text
gro.griffith.authorTownsley, Michael K.
gro.griffith.authorBirks, Daniel J.


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