Modeling the Cycles of Gang and Criminal Behavior: Understanding the Social and Economic Influences Bruce Skarin, Jeanine Skorinko, Khalid Saeed, Oleg Pavlov, 27th International Conference of the System Dynamics Society, 2009

One of the challenges in developing policy for dealing with asocial behavior, such as burglary, vehicle theft, or violent crimes is the seemingly unpredictable rise and fall of activity. In retrospect these cycles in crime are often attributed to changes in factors such the size of a police force, level unemployment, or high school drop-out rate. What causes changes in these factors can some times be external to a local community, such as economic shifts affecting tax revenue, however many are internally linked. For example when crime is high, there is a call for more police and when crime is low, there is a justification for reducing the size of the force. Therefore, understanding how these factors are linked together as a whole may allow for better policies that reduce asocial behavior further and create more stability in the long term.
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Large Scale Healthcare Modeling by Hybrid Simulation Techniques using AnyLogic Anatoli Djanatliev and Reinhard German, Computer Networks and Communication Systems Department of Computer Science 7. Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques

This paper describes a methodical and practical approach of hybrid model creation using the simulation tool AnyLogic. We focus on general modeling aspects and on advanced techniques using a Level-Based Architecture that help to develop large scale hybrid simulation models. An implementation of a stroke therapy use-case and its simulation results will be discussed. Finally, some practical ideas for validation will be outlined, as we experienced during the stroke use-case development.
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Business Process Modeling and Efficiency Improvement through an Agent-Based Approach Dario RUSSO, Franco PASSACANTANDO, Luigi GEPPERT, Luigi MANCA

This paper describes the results of a practical experience of business process improvement and change. the business modeling approach, carried out through an agent-based model, has been applied to an operational process with the aim to reduce the overlapping of the operational phases and to improve the time-efficiency. Simulation outcomes and results are discussed.
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Modeling Smart Grids as Complex Systems Through The Implementation of Intelligent Hubs Jose Gonzalez de Durana, Oscar Barambones (University College of Engineering, University of the Basque Country); Enrique Kremers, Pablo Viejo (European Institute for Energy Research - EIFER). 7th International Conference on Informatics in Control, Automation and Robotics (ICINCO), Funchal, Madeira (Portugal), June 15-18 2010.

The electrical system is undergoing a profound change of state, which will lead to what is being called the smart grid. The necessity of a complex system approach to cope with ongoing changes is presented: combining a systemic approach based on complexity science with the classical views of electrical grids is important for an understanding the behavior of the future grid. Key issues like different layers and inter-layer devices, as well as subsystems are discussed and proposed as a base to create an agent-based system model to run simulations.
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Object oriented simulation of Hybrid Renewable Energy systems focused on Supervisor Control Jose Maria Gonzalez de Durana, Oscar Barambones (Universidad del Pais Vasco). IEEE Int. Conf. on Emerging Technologies and Factory Automation Proceedings of the IEEE Int. Conf. on Emerging Technologies and Factory Automation, Palma de Mallorca, 22/09/2009

With eyes focused on simulation the authors review some of the main topics of Hybrid Renewable Energy Systems (HRES). Then they describe an Object Oriented model of a simple example of one of such systems, a micro-grid, oriented to designing a decentralized Supervisor Control. The model has been implemented using AnyLogic.
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Complete Agent Based Simulation of Mini-Grides J.M. Gonzalez de Durana, O. Barambones, Enrique Kremersy, and Pablo Viejo (Universidad del Paıs Vasco, European Institute for Energy Research - EIFER EDF and the University of Karlsruhe). Ninth IASTED European Conference on Power and Energy System, Palma de Mallorca, 07/09/2009

With eyes focused on simulation we review some of the main topics of Hybrid Renewable Energy Systems (HRES). Then we describe an Agent Based model of a simple example of one of such systems, a micro-grid, oriented to designing a decentralized Supervisor Control. The model has been implemented using AnyLogic.
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A Complex Systems Modelling Approach for Decentralized Simulation of Electrical Microgrids Enrique Kremers and Pablo Viejo (European Institute for Energy Research - EIFER EDF and the University of Karlsruhe); Oscar Barambones and Jose Gonzalez de Durana (University College of Engineering University of the Basque Country). Engineering of Complex Computer Systems (ICECCS), 2010 15th IEEE International Conference on, 22-26 March 2010.

The structure and behavior of Electrical Grids share many of the properties of Complex Computer Systems, with microgrids and other decentralized electrical systems attached to them, so they can be interpreted as Systems of Systems. Furthermore, the evolution of the future electrical system will bring a higher degree of decentralization concerning specially production and control. To deal with this paradigm change, new models and tools are necessary. In this paper a model of an electrical microgrid is presented.
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An Agent-Based Multi-Scale Wind Generation Model Enrique Kremers, Norbert Lewald (European Institute for Energy Research); Oscar Barambones, Jose Maria Gonzalez de Durana (Universidad del Pais Vasco). Kremers, E., Lewald, N. IASTED EuroPES 2009, Palma de Mallorca, Spain, September 7 – 9. (2009).

This paper presents an agent-based model for simulating wind power systems on multiple time scales. The aim is to generate a flexible model that allows us to simulate the output of a wind farm. The model is developed using multiparadigm modelling, combining different approaches such as agent-based modelling, discrete events and dynamic systems.
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A Detailed Model For a High-Mix Low-Volume ASIC FAB Mike Gissrau, Oliver Rose. Proceedings of the 2011 Winter Simulation Conference

Looking for new improvement options such as new dispatching rules of an existing semiconductor fabrication facility, a detailed model is indispensable to check the data quality as well as detecting main influences of the facility and finally testing the new optimization approaches.
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A Generic Operational Simulation for Early Design Civil Unmanned Aerial Vehicles Benjamin Schumann, Jim Scanlan (School of Engineering Sciences University of Southampton); Kenji Takeda (Microsoft Research). Proceedings of the SIMUL 2011: The Third International Conference on Advances in System Simulation

Contemporary aerospace programmes often suffer from large cost overruns, delivery delays and inferior product quality. This is caused in part by poor predictive quality of the early design phase processes with regards to the operational environment of a product. This paper develops the idea of a generic operational simulation that can help designers to rigorously analyse and test their early product concepts. The simulation focusses on civil Unmanned Air Vehicle products and missions to keep the scope of work tractable.
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