Synthesis over Analysis: Towards an Ontology for Volume Crime Simulation

TL;DR: In this article, an ABM of residential burglary is presented, simulating a world inhabited by potential targets and offenders who behave according to the theoretical propositions of environmental criminology, and a series of simulated experiments examining the impact of these mechanisms on patterns of offending are performed.

TL;DR: These simulations suggest that wider application of hot spots policing can have significant impacts on overall levels of crime in urban areas.

TL;DR: ABM offers significant potential for criminological enquiry, however, the lack of model detail reported in publications makes it difficult to assess where sufficient evidence exists to support—and where gaps limit—the development of models that reflect extant conditions and offender decision-making.

TL;DR: The book focusses on questions of individual and collective action, the emergence and dynamics of social norms and the feedback between individual behaviour and social phenomena, and shows the usefulness of agent-based modelling for the study of these micro-macro interactions.

TL;DR: In this paper, a "routine activity approach" is presented for analyzing crime rate trends and cycles. But rather than emphasizing the characteristics of offenders, with this approach, the authors concentrate upon the circumstances in which they carry out predatory criminal acts, and hypothesize that the dispersion of activities away from households and families increases the opportunity for crime and thus generates higher crime rates.

TL;DR: Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents as discussed by the authors ; agent architectures can be thought of as software engineering models of agents; and agent languages are software systems for programming and experimenting with agents.

TL;DR: Agent-based modeling is a powerful simulation modeling technique that has seen a number of applications in the last few years, including applications to real-world business problems, and its four areas of application are discussed by using real- world applications.