Publication Date:
2006-02-18
Description:
Empirical research with nonhuman primates appears to support the view that causal reasoning is a key cognitive faculty that divides humans from animals. The claim is that animals approximate causal learning using associative processes. The present results cast doubt on that conclusion. Rats made causal inferences in a basic task that taps into core features of causal reasoning without requiring complex physical knowledge. They derived predictions of the outcomes of interventions after passive observational learning of different kinds of causal models. These competencies cannot be explained by current associative theories but are consistent with causal Bayes net theories.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Blaisdell, Aaron P -- Sawa, Kosuke -- Leising, Kenneth J -- Waldmann, Michael R -- MH12531/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2006 Feb 17;311(5763):1020-2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Psychology, University of California, Los Angeles, CA 90095, USA. blaisdell@psych.ucla.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16484500" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
*Association Learning
;
Bayes Theorem
;
*Cognition
;
Comprehension
;
Forecasting
;
Male
;
Rats
;
Rats, Long-Evans
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
