338
Views
10
CrossRef citations to date
0
Altmetric
Articles

Adam Smith on Instincts, Affection, and Informal Learning: Proximate Mechanisms in Multilevel Selection

Pages 95-113 | Published online: 11 Mar 2009
 

Abstract

Why do people give away knowledge in tutoring other people's children or when mentoring junior employees? Neoclassical economists explain informal learning as rational behavior that arises out of enlightened self-interest. They can also justify it as acts that satisfy the agent's preferences for the utility of others. By contrast, this paper shows that Smith's moral sentiments model anticipates a biological approach that explains additional and deeper motives for such exchanges. Instincts and emotions serve consequentialist ends because the ultimate causes of behavior are grounded in adaptations useful for survival and procreation. But man is largely innocent of this knowledge. The proximate causes of behavior—that is, the adaptive mechanisms actually at work in human society—are psychologically obscure—not left to the conscious mind. Social and moral capital develop through instincts and affection, and mentoring and collaboration are examples of social exchanges that arise from them.

Acknowledgements

The author acknowledges valuable comments from Elias Khalil, Wilfred Dolfsma, Mark White, and an anonymous referee.

Notes

See Wight 2007; Grampp Citation2000; Rothschild Citation1994; Evensky Citation1993; Persky Citation1989.

Georgescu-Roegen uses the term more broadly than is construed here.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 173.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.