Community

ericyama Member since: Friday, December 11, 2009

Eric Weisbrod Member since: Monday, December 13, 2010

ericyama808 Member since: Tuesday, August 05, 2008

Eric Hammer Member since: Wednesday, September 14, 2016

BS Logistics Pennsylvania State University, MS Economics George Mason University, PhD Candidate Economics George Mason University

My academic interests involve public choice and the development of social norms for cooperation in the marketplace and the behavior of voting blocks. Recent work looks at the emergence of property rights “norms” among zero intelligence agents in an evolutionary context, and the dynamics of legislative party creation in an environment of stochastically voting voters.

Ericson Hölzchen Member since: Thursday, August 16, 2018

Bo Xu Member since: Monday, April 15, 2013

PH.D. candidate

I am major in Management Science and Engineering. My interests lie in agent-based modeling, collective intelligence, knowledge diffusion, and cooperation evolution.

Eric Silverman Member since: Thursday, December 20, 2012

ericakolibacampbell Member since: Monday, March 08, 2010

adrianericsson Member since: Friday, January 21, 2011

Eric Kameni Member since: Monday, October 19, 2015 Full Member Reviewer

Ph.D. (Computer Science) - Modelisation and Application, Institute for Computing and Information Sciences (iCIS) and Institute for Science, Innovation and Society (ISIS), Faculty of Science, Radboud University, Netherland, Master’s degree with Thesis, University of Yaounde I

Eric Kameni holds a Ph.D. in Computer Science option modeling and application from the Radboud University of Nijmegen in the Netherlands, after a Bachelor’s Degree in Computer Science in Application Development and a Diploma in Master’s degree with Thesis in Computer Science on “modeling the diffusion of trust in social networks” at the University of Yaoundé I in Cameroon. My doctoral thesis focused on developing a model-based development approach for designing ICT-based solutions to solve environmental problems (Natural Model based Design in Context (NMDC)).

The particular focus of the research is the development of a spatial and Agent-Based Model to capture the motivations underlying the decision making of the various actors towards the investments in the quality of land and institutions, or other aspects of land use change. Inductive models (GIS and statistical based) can extrapolate existing land use patterns in time but cannot include actors decisions, learning and responses to new phenomena, e.g. new crops or soil conservation techniques. Therefore, more deductive (‘theory-driven’) approaches need to be used to complement the inductive (‘data-driven’) methods for a full grip on transition processes. Agent-Based Modeling is suitable for this work, in view of the number and types of actors (farmer, sedentary and transhumant herders, gender, ethnicity, wealth, local and supra-local) involved in land use and management. NetLogo framework could be use to facilitate modeling because it portray some desirable characteristics (agent based and spatially explicit). The model develop should provide social and anthropological insights in how farmers work and learn.

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