Behaviours and Learning in Complex Evolving Economies

Lorenzo Corno (), Giovanni Dosi () and Luigi Marengo ()
Additional contact information
Lorenzo Corno: GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa]
Giovanni Dosi: SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa]
Luigi Marengo: LUISS - Libera Università Internazionale degli Studi Sociali Guido Carli [Roma]

Working Papers from HAL

Abstract: This paper provides an overview of behaviors and learning of heterogeneous economic agentswhether individuals or firms-within complex evolving economies. It aims to explore the microfoundation of agency and learning, two fundamental aspects that constitutively contribute to the emergence of micro, meso, and macro stylized facts of modern capitalist economies, conceived as complex evolving systems. The investigation begins at the individual level, drawing on insights from cognitive and social sciences and identifying relevant micro-evidence concerning the cognitive, psychological, behavioral, and social dimensions of human agency in complex and uncertain environments. It then shifts to the epistemological level organization, where individual behaviors and learning are interwoven with those of other members and embedded within the genuinely collective dimensions and emergent properties of the firm-such as organizational capabilities, heuristics, and power configurations-on which the analysis will focus. This perspective interprets the firm as a sort of primitive problem-solving entity and acknowledges that organizational behaviors and learning are "more" than what can be grasped by attending solely to insulated parts. The primary objective of this work is to contribute to a positive theory of behaviors and learning in complex evolving economies, while also offering a fertile ground for theoretical and modeling developments in search of realistic building blocks.

Keywords: Evolutionary Economics; Organizational Learning; Bounded Rationality; Heuristics; Complex Systems; Microfoundations (search for similar items in EconPapers)
Date: 2025-05-09
Note: View the original document on HAL open archive server: https://univ-cotedazur.hal.science/hal-05520647v1
References: Add references at CitEc
Citations:

Downloads: (external link)
https://univ-cotedazur.hal.science/hal-05520647v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-05520647

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().