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Displaying 10 of 46 results agent based models clear search

Garvin Boyle Member since: Sun, Feb 03, 2013 at 10:03 PM Full Member

B.Sc, B.Ed.

To understand the nature of sustainable biophysical/economic systems. To determine the necessary and sufficient conditions for sustainability. To explore the trade-off between sustainability and social or economic justice. To investigate the application of the MEP and/or the MEPP to economic systems, or agent-based models of economic systems.

Susan Boerma Member since: Wed, Oct 23, 2013 at 09:29 AM

MSc

Using Bayesian statistics for improving Agent based models and visa versa.

Emma Norling Member since: Tue, Dec 03, 2013 at 11:57 AM

PhD (Computer Science) The University of Melbourne (2009)

Agent-based models of human behaviour, from cognitive modelling through to cognitively-rich social simulation.

Ismael Chaile Member since: Wed, Dec 11, 2013 at 06:29 PM Full Member

Ph.D. with research line in Multi-agent systems and Distributed systems (robots, IoT), Master In Science in Micro and Nanoelectronic, Master in General Direcction and Strategic Planning, Electronic Engineer

I have been researching in synchronization between agent-based-models (ABM) and multi robot systems used in logistic and manufacturing. I use Netlogo as ABM.
I develop and agile methodology to use the same ABM as supervisory control and data aquisition (SCADA). The framework works fine and I test it in two SCADAs, which you can see in my youtube channel (http://www.youtube.com/channel/UCJIb_UL-ak98F5OZxOHL0FQ).

Andrew Bell Member since: Thu, Jan 23, 2014 at 04:07 PM Full Member Reviewer

PhD, Natural Resource Management, University of Michigan

Andrew Bell (Ph.D. 2010, Michigan) was a Research Fellow in the Environment and Production Technology Division at the International Food Policy Research Institute (IFPRI) in Washington, DC. His current research portfolio focuses on the use of field instruments – such as discrete choice experiments, framed field experiments, randomized control trials – to inform behavior in agent-based models of coupled human-natural systems. Prior to this post, Andrew was a post-doctoral research fellow at The Earth Institute at Columbia University, where he focused on developing applications for paleo-climate histories.

Sara Mcphee-Knowles Member since: Wed, Mar 05, 2014 at 07:17 PM

PhD Candidate, Public Policy, Bachelor of Arts in Public Administration, 2009

My dissertation research at the Johnson-Shoyama Graduate School of Public Policy focuses on food safety and consumer choices, using agent-based models as a novel method for investigating this policy space.

E Reed Member since: Mon, Jul 28, 2014 at 03:02 AM

Computational Social Science

Agent Based Models used in policy analysis

Smarzhevskiy Ivan Member since: Sun, Aug 17, 2014 at 12:23 PM Full Member

Independent reseacher

Smarzhevskiy Ivan, born 1961, graduated from the Faculty of Mechanics and Mathematics of Moscow State University in 1983. Ph.D. in Economic Sciences since 2000.

Research interests: individual and collective behavior in the organization, decision making, sociology of small groups.

decision making, sociology of small groups, agent based models

Volker Grimm Member since: Wed, Jul 18, 2007 at 11:13 AM Full Member

Volker Grimm currently works at the Department of Ecological Modelling, Helmholtz-Zentrum für Umweltforschung. Volker does research in ecology and biodiversity research.

How to model it: Ecological models, in particular simulation models, often seem to be formulated ad hoc and only poorly analysed. I am therefore interested in strategies and methods for making ecological modelling more coherent and efficient. The ultimate aim is to develop preditive models that provide mechanstic understanding of ecological systems and that are transparent and structurally realistic enough to support environmental decision making.

Pattern-oriented modelling: This is a general strategy of using multiple patterns observed in real systems as multiple criteria for chosing model structure, selecting among alternative submodels, and inversely determining entire sets of unknown model parameters.

Individual-based and agent-based modelling: For many, if not most, ecological questions individual-level aspects can be decisive for explaining system-level behavior. IBM/ABMs allow to represent individual heterogeneity, local interactions, and/or adaptive behaviour

Ecological theory and concepts: I am particularly interested in exploring stability properties like resilience and persistence.

Modelling for ecological applications: Pattern-oriented modelling allows to develop structurally realistic models, which can be used to support decision making and the management of biodiversity and natural resources. Currently, I am involved in the EU project CREAM, where a suite of population models is developed for pesticide risk assessment.

Standards for model communication and formulation: In 2006, we published a general protocol for describing individual- and agent-based models, called the ODD protocol (Overview, Design concepts, details). ODD turned out to be more useful (and needed) than we expected.

Chloe Atwater Member since: Mon, Aug 25, 2014 at 02:59 AM

B.S. in Evolutionary Anthropology, UC Davis, PhD Student in Archaeology, ASU

Applying agent-based models to archaeological data, using modern ethnoarchaeological data as an analog for behavior.

Displaying 10 of 46 results agent based models clear search

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