Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Specification and Verification of Dynamics in Cognitive Agent Models
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Cognitive and social simulation of criminal behaviour: the intermittent explosive disorder case
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Analyzing police patrol routes by simulating the physical reorganization of agents
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Towards optimal police patrol routes with genetic algorithms
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
LEADSTO: a language and environment for analysis of dynamics by simulation
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
Agent-Based and Population-Based Simulation of Displacement of Crime (extended abstract)
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Comparing Crime Prevention Strategies by Agent-Based Simulation
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
An agent-based framework to support crime prevention
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Planning high responsive police patrol routes with frequency constraints
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
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An important challenge within the field of Criminology is to investigate the spatio-temporal dynamics of crime. Typical questions in this area are how the behaviour of offenders, targets, and guardians, and the emergence and displacement of criminal hot spots can be predicted. This paper presents an agent-based simulation model that can be used as an experimental tool to address such questions. The simulation model particularly focuses on the interplay between hot spots and reputation. Using the model, a number of simulation experiments have been performed, of which results have been analysed using formal techniques. The results indicate that the presented approach is able to adequately reproduce displacement patterns as described in the literature.