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Displaying 10 of 55 results for "Alassane Bah" clear search

Timothy Dennehy Member since: Mon, Mar 11, 2013 at 09:03 PM

BA Psychology, MA Anthropology

Prehistoric archaeology of hunter-gatherer societies in Mesoamerica and American Southeast; comparative analysis of urban form and service provision; social inequality; complex adaptive systems; cultural evolution.

Alex Kara Member since: Wed, Apr 10, 2013 at 11:22 PM

BA in Archaeology, Boston University, 2012

I am interested in using agent based modelling and systematic data collection to understand diachronic human-environment interactions in the Maya region of Guatemala, Mexico, and Belize.

Phil Riris Member since: Wed, May 01, 2013 at 01:32 AM Full Member

BA Archaeology, MA Archaeology, PhD Archaeology (in progress)

Timothy Gooding Member since: Wed, May 15, 2013 at 10:29 AM

BA Economics, York University Canada, PhD Economics Kingston University London

After being the economic development officer for the Little/Salmon Carmacks First Nation, Tim used all his spare time trying to determine a practical understanding of the events he witnessed. This led him to complexity, specifically human emergent behaviour and the evolutionary prerequisites present in human society. These prerequisites predicted many of the apparently immutable ‘modern problems’ in society. First, he tried disseminating the knowledge in popular book form, but that failed – three times. He decided to obtain PhD to make his ‘voice’ louder. He chose sociology, poorly as it turns out as he was told his research had ‘no academic value whatsoever’. After being forced out of University, he taught himself agent-based modelling to demonstrate his ideas and published his first peer-reviewed paper without affiliation while working as a warehouse labourer. Subsequently, he managed to interest Steve Keen in his ideas and his second attempt at a PhD succeeded. His most recent work involves understanding the basic forces generated by trade in a complex system. He is most interested in how the empirically present evolutionary prerequisites impact market patterns.

Economics, society, complexity, systems, ecosystem, thermodynamics, agent-based modelling, emergent behaviour, evolution.

Shaker Khanfar Member since: Fri, May 17, 2013 at 04:20 PM

BA

I’m trying to fing a simulation for Multiagent system based search engine by NetLogo

Felix Peniche Member since: Fri, Aug 30, 2013 at 09:29 AM

M.Sc., BA

Jason Hilton Member since: Thu, Sep 19, 2013 at 05:20 PM

BA Politics, MSc Demography

Bernardo Furtado Member since: Mon, Jan 27, 2014 at 10:57 AM Full Member Reviewer

PhD Geosciences/Economics, MsC Geography, BA Architecture

Tenured researcher @ government think-tank (IPEA) and CNPq (productivity grant - since 2014), complex modeler interested, data fan, transitional Python user, PhD. Background in urban analysis, economics, geography. From twitter.com/furtadobb

Agent-based modeling, urban policy, urban economics. Metropolis and municipalities analyses.

Xiaotian Wang Member since: Fri, Mar 28, 2014 at 02:23 AM

PHD of Engineering in Modeling and Simulation, Proficiency in Agent-based Modeling

Social network analysis has an especially long tradition in the social science. In recent years, a dramatically increased visibility of SNA, however, is owed to statistical physicists. Among many, Barabasi-Albert model (BA model) has attracted particular attention because of its mathematical properties (i.e., obeying power-law distribution) and its appearance in a diverse range of social phenomena. BA model assumes that nodes with more links (i.e., “popular nodes”) are more likely to be connected when new nodes entered a system. However, significant deviations from BA model have been reported in many social networks. Although numerous variants of BA model are developed, they still share the key assumption that nodes with more links were more likely to be connected. I think this line of research is problematic since it assumes all nodes possess the same preference and overlooks the potential impacts of agent heterogeneity on network formation. When joining a real social network, people are not only driven by instrumental calculation of connecting with the popular, but also motivated by intrinsic affection of joining the like. The impact of this mixed preferential attachment is particularly consequential on formation of social networks. I propose an integrative agent-based model of heterogeneous attachment encompassing both instrumental calculation and intrinsic similarity. Particularly, it emphasizes the way in which agent heterogeneity affects social network formation. This integrative approach can strongly advance our understanding about the formation of various networks.

Andrew Collins Member since: Fri, Apr 18, 2014 at 02:19 PM

MA, PhD, MSC, BA

Andrew J. Collins, Ph.D., is an assistant professor at Old Dominion University in the Department of Engineering Management and Systems Engineering. He has a Ph.D. in Operations Research from the University of Southampton, and his undergraduate degree in Mathematics was from the University of Oxford. He has published over 80 peer-review articles. He has been the Principal Investigator on projects funded to the amount of approximately $7 million. Dr. Collins has developed several research simulations including an award-winning investigation into the foreclosure contagion that incorporated social networks.

Displaying 10 of 55 results for "Alassane Bah" clear search

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