Towards a Descriptive Model of Agent Strategy Search

It is argued that due to the complexity of most economic phenomena, the chances of deriving correct models from a priori principles are small. Instead are more descriptive approach to modelling should be pursued. Agent-based modelling is characterised as a step in this direction. However many agent-based models use off-the-shelf algorithms from computer science without regard to their descriptive accuracy. This paper attempts an agent model that describes the behaviour of subjects reported by Joep Sonnemans as accurately as possible. It takes a structure that is compatible with current thinking cognitive science and explores the nature of the agent processes that then match the behaviour of the subjects. This suggests further modelling improvements and experiments

Overview on agent-based social modelling and the use of formal languages

Transdisciplinary Models and Applications investigates a variety of programming languages used in validating and verifying models in order to assist in their eventual implementation. This book will explore different methods of evaluating and formalizing simulation models, enabling computer and industrial engineers, mathematicians, and students working with computer simulations to thoroughly understand the progression from simulation to product, improving the overall effectiveness of modeling systems.Postprint (author's final draft

Agent-based techniques for National Infrastructure Simulation

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.Includes bibliographical references (leaves 35-37).Modern society is dependent upon its networks of infrastructure. These networks have grown in size and complexity to become interdependent, creating within them hidden vulnerabilities. The critical nature of these infrastructures has led to the establishment of the National Infrastructure Simulation and Analysis Center (NISAC) by the United States Government. The goal of NISAC is to provide the simulation capability to understand infrastructure interdependencies, detect vulnerabilities, and provide infrastructure planning and crises response assistance. This thesis examines recent techniques for simulation and analyzes their suitability for the national infrastructure simulation problem. Variable and agent-based simulation models are described and compared. The bottom-up approach of the agent-based model is found to be more suitable than the top-down approach of the variable-based model. Supercomputer and distributed, or grid computing solutions are explored. Both are found to be valid solutions and have complimentary strengths. Software architectures for implementation such as the traditional object-oriented approach and the web service model are examined. Solutions to meet NISAC objectives using the agent-based simulation model implemented with web services and a combination of hardware configurations are proposed.by Kenny Lin.S.M

Planning robust policing futures: modelling using multimethodology

Purpose – The resourcing of policing activity is characterised by a level of complexity, particularly where evaluating alternative policy options is concerned. In this paper, a case study using multimethodological modelling to compare alternative policy choice in a group context is outlined with respect to response-patrol officer (RPO) deployment within a UK police force. The paper aims to discuss these issues. Design/methodology/approach – The application of a three phase modelling process is illustrated where scenario planning is used to generate the scope of the system elements to be modelled. This is followed by causal mapping to identify the barriers to improving officer resourcing, and system dynamics modelling is used to simulate the impacts of a range of policy options within this policing function. A group model building approach was applied throughout the modelling phases with anexpert group to negotiate a shared view of the structure and dynamics of the resourcing policy challenges. Findings – A fully validated system dynamics model emerged from the multi-phase modelling process which allowed a series of alternative future policy scenarios to be explored and evaluated. Useful policy insights were generated by the system dynamics simulation model which suggested more efficient rules for resource allocation in the police force’s RPO function. Originality/value – The insights from this case study demonstrates that multi-phase modelling has potential application in policy exploration across a range of emergency service providers whoseactions are governed by both variable demand and constrained supply of resourc