A Cognitive Behavioral Modelling for Coping with Intractable Complex Phenomena in Economics and Social Science: Deep Complexity
Emeritus professor of economics, University of Versailles-Saint-Quentin-
Please cite the paper as:
Robert Delorme, (2017), A Cognitive Behavioral Modelling for Coping with Intractable Complex Phenomena in Economics and Social Science: Deep Complexity, World Economics Association (WEA) Conferences, No. 2 2017, Economic Philosophy: Complexities in Economics, 2nd October to 7th December 2017
It is argued in this paper that there is an issue of complex phenomenal intractability in economics, in particular, and in social science in general, and that it is unduly neglected in theorizing in these areas. This intractability is complex because it is an offspring of certain complex phenomena. It is phenomenal because it relates to empirical phenomena, which distinguishes it from conceptual and computational approaches to intractability and complexity. Among the possible reasons for this neglect, one is, in established complexity theory, the focus on computer simulations which seemingly solve for analytical sources of intractability. Another one is the relegation of intractability proper to theoretical computer science. Yet the empirical inquiries that originated this research reveal significant cases of intractable complex phenomena that are accommodated neither by existing complexity theory nor by the theory of computational intractability. The task ahead is therefore to construct a theory of complexity with phenomenal intractability. A reflexive cognitive behavioral modelling is developed and tested through its application. It results in what may be called a Deep Complexity Procedure. Its implications for economic and social theorizing are discussed.