Behaviours and Learning in Complex Evolving Economies

This paper provides an overview of behaviors and learning of heterogeneous economic agents—whether 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.

Authors

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-04-03
DOI
https://doi.org/10.57838/sssa/sp73-7h88
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
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article

Behaviours and Learning in Complex Evolving Economies

Luigi Marengo, Giovanni Dosi, Lorenzo Corno
SPIRE - Sciences Po Institutional REpository
Complex Systems and Time Series Analysis
article

Behaviours and Learning in Complex Evolving Economies

Luigi Marengo, Giovanni Dosi, Lorenzo Corno
article en

Abstract

This paper provides an overview of behaviors and learning of heterogeneous economic agents—whether 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.

SPIRE - Sciences Po Institutional REpository
Openalex Percentile: Top 64%
Complex Systems and Time Series Analysis
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