ISC-PIF Director //
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.
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
Please visit David Chavalarias Website
Projection of a bipartite graph on one of its component. (BatchViz Software)
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