83
Views
1
CrossRef citations to date
0
Altmetric
EVOLUTION'S HIERARCHICAL COMPLEXITY

Domain-Specific Increases in Stage of Performance in a Complete Theory of the Evolution of Human Intelligence

, , , &
Pages 416-429 | Published online: 05 Nov 2008
 

Abstract

The evolution of humans required performing increasingly hierarchically complex tasks within multiple domains. Hierarchical complexity increases task by task. Tasks occur within, and differ by, determinable domains, their stages of performance measurable using the Model of Hierarchical Complexity. How well one performs within single and multiple domains is considered to indicate intelligence. Original task-initiation is more difficult than imitational learning and can create new domains. Levels of support reduce task difficulty, increasing performance. Task-performance may be generalized to other domains. Stages of developing tools and empathy are presented to demonstrate domains' roles in the evolution of human intelligence.

Notes

a Reprinted with permission. Adapted from M. L. Commons, and P. M. Miller. 2002. A complete theory of human evolution of intelligence must consider stage changes. Behavioral and Brain Sciences 25(3): 405. Copyright © 2002 by Behavioral and Brain Sciences

b Reprinted with permission. Adapted from M. L. Commons and C. A. Wolfsont. 2002. A complete theory of empathy must consider stage changes. Behavioral and Brain Sciences 25(1): 30–31. Copyright © 2002 by Behavioral and Brain Sciences

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 396.00 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.