ISC-PIF Guest Researcher //
Permanent CNRS researcher at Paris IdF Complex System Institute and at the CAMS (Ecole des Hautes Etudes, CNRS). David Chavalarias has a background in Mathematics and Computer sciences (Ecole Normale Supérieure de Cachan & Agregation de Mathématiques) and a PhD in Cognitive Sciences (Ecole Polytechnique) with a specialization in social systems modeling. His researches concern scientometry, text mining and social dynamics reconstruction and cultural evolution modelling.
David Chavalarias is also Vice-President of the Complex Systems Society
e-mail: david.chavalarias (at ) polytechnique (dot) edu
ISC-PIF working group: MOMA
Web mining and Quantitative Epistemology
The goals of these researches is the reconstruction and visualization of science dynamics. We expect to improve our global understanding of science evolution and develop new tools for our daily interactions with its productions.
The software Words Evolution (WE) implements the algorithms and tools developped by this research project.
Key words: knowledge discovery, data mining, cartography, visualization, electronic corpuses, social media, community detection, semantic web.
Cognitive economics and modelling of cultural dynamics
Metamimetic games build on the fact that metacognition and human reflexive capacities are the ground for a new class of mimetic rules, that enables to endogenize the distribution of imitation rules while being human specific. The corresponding concepts of equilibrium — counterfactually stable state — and attractor have been proposed.
This lead to an interpretation of social differenciation in terms of cultural co-evolution among a set of possible motivations, which departs from the traditional view of optimization indexed to immutable criteria that exist prior to the activity of agents.
Key words : Social cognition, multi-agents, complex systems, social networks, endogenous preferences, imitation, reflexivity, metacognition, stochastic game theory, cultural co-evolution, social differenciation.
Emergence of cooperation with network formation. Comparison between analyticall and multi-agent model 7.
Collective discovery and scientific discovery
These researches build on the game Nobel (Chavalarias 1998) and are developed along three axis: mathematics modeling, multi-agent modeling, and experimental economics.
Key words: game theory, multi-agents, evolutionary epistemology, Popper, collective discovery,
distributed cognition, knowledge management
Play online to the Nobel Game
1 Chavalarias, D. (2009) Désir mimétique et imitation rationnelle. Vers un individualisme méthodologique complexe, In Jean-Pierre Dupuy Dans l'Oeil du Cyclone, Marc Anspach Ed., Editions Carnets Nord.
2 Cointet J-P., Chavalarias D. (2008) Multi-level Science mapping with asymmetric co-occurrence analysis: Methodology and case study, Networks and Heterogeneous Media, Vol 3 Number 2, june 2008, p267-276
4 Chavalarias D. & Cointet J-P. (2008) Bottom-up scientific field detection for dynamical and hierarchical science mapping - methodology and case study Scientometrics Vol. 75 No. 1 , (DOI): 10.1007/s11192-007-1825-6. e-print
5 Bourgine P., Chavalarias D. and Cohen-Boulakia C. (Eds.) (2008) Déterminismes et Complexités : Du Physique à l'Ethique - autour d'Henri Atlan, Ed. La Découverte.
6 Chavalarias D. (2007) La part mimétique des dynamiques de cognition sociale : clé pour penser l’auto-transformation du social Nouvelles Perspectives en Sciences Sociales, Volume 2, numéro 2 Version Pre-print.
7 Chavalarias, D., Cooperation as an outcome of a social differentiation process in a metamimetic game (2007) In : Social Simulation: Technologies, Advances and New Discoveries, Bruce Edmonds, Cesáreo Hernández Iglesias, et Klaus G. Troitzsch (ed), p26-42.
8 Chavalarias D. (2006) Metamimetic games: Modeling Metadynamics in Social Cognition, Journal of Artificial Societies and Social Simulations (JASSS) Vol. 9 Issue 2.
Projection of a bipartite graph on one of its component. (BatchViz Software)
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