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Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation Michael J. North, Charles M. Macal
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Paolo Gaudiano provides background information on agent-based simulation, describes BEES, and outlines the potential for further applications of this approach in the design and management of building energy systems. Related Evaluation of Measurement Techniques for the Validation of Agent-Based Simulations Against Streaming Data.- Using Complex Workflow Management of the CAM Global Climate Model on the GRID. Macal English | 2007 | ISBN: 0195172116 | Pages: 328 | PDF | 6,5 MB. Springer is part of Springer Science+Business Media. Mar 5, 2008 - Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. In Areas of Conflict CRIMSON (Computer-based, Rapid Interactive Model & Simulation), is a predictive model to understand how reconstruction and positive messaging influence individuals and groups in areas of conflict. Influence overall energy consumption. Oct 8, 2013 - Ebook: Managing Business Complexity:Discovering Strategic Solutions with Agent-Based Modeling and Simulation Book format: pdf, ebook, ipad, android, text, epub, audio. Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Nov 24, 2013 - aAustralian Bureau of Agricultural and Resource Economics and Sciences, Australia; bPennsylvania State University, United States; cCornell University, United States; dMcKinsey & Company, Vietnam. Apr 19, 2010 - Keywords » Hardware - Processing - algorithms - bioinformatics - computer - computer graphics - computer science - geometric modeling - image processing - modeling - optimization - simulation - tools - visualization. Mar 13, 2014 - Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation by Michael J. Nov 2, 2008 - Wyatt on Chapin, Connerly, Higgins (Eds): Growth management in Florida: planning for paradise. Squash being rinsed following (2013)6 the validity of least-cost solution as a prediction for WQT market outcomes by simulating trading outcomes within a set of trading rules and market structures in an agent-based model (ABM). Nov 1, 2013 - Agent-based simulation has been used to study a wide variety of complex and social systems.