David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Philosophical Psychology 10 (2):197 – 210 (1997)
Harry Harlow is credited with the discovery of learning set, a process whereby problem solving becomes essentially complete in a single trial of training. Harlow described that process as one that freed his primates from arduous trial-and-error learning. The capacity of the learner to acquire learning sets was in positive association with the complexity and maturation of their brains. It is here argued that Harlow's successful conveyance of learning-set phenomena is of historic significance to the philosophy of psychology. Learning set is said to reflect the affirmation or rejection of hypotheses. Hypotheses are generated by the learner's brain, not its muscles. Thus, learning-set research served to advance the perspective that even nonhuman primates think and that their thinking reflects the active processing of information accrued from efforts to solve problems. Their learning processes are not simply the strengthening of some motor responses over others. Hence, learning-set research served to advance studies of animals as rational agents. This trend is serving to supplant the radical-behavioristic models, formulated earlier this century, with models predicated on rational processes for animals' complex learning and behavior.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Scott Moss & Bruce Edmonds (1994). Modelling Learning as Modelling. Philosophical Explorations.
Axel Cleeremans & Zoltán Dienes (2008). Computational Models of Implicit Learning. In Ron Sun (ed.), The Cambridge Handbook of Computational Psychology. Cambridge University Press. 396--421.
Axel Cleeremans (1993). Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing. MIT Press.
James Blackmon, David Byrd, Robert C. Cummins, Pierre Poirier & Martin Roth (2005). Atomistic Learning in Non-Modular Systems. Philosophical Psychology 18 (3):313-325.
Yao-Tung Hsu, Tzung-Pei Hong & Shian-Shyong Tseng (2001). Learning Concepts by Arranging Appropriate Training Order. Minds and Machines 11 (3):399-415.
Pierre Poirier (2005). Atomistic Learning in Non-Modular Systems. Philosophical Psychology 18 (3):313-325.
Stephen Grossberg (1997). Neural Models of Development and Learning. Behavioral and Brain Sciences 20 (4):566-566.
Daniel John Zizzo (2000). Implicit Learning of (Boundedly) Rational Behaviour. Behavioral and Brain Sciences 23 (5):700-701.
John P. Gluck (1997). Harry F. Harlow and Animal Research: Reflection on the Ethical Paradox. Ethics and Behavior 7 (2):149 – 161.
Added to index2010-05-07
Total downloads7 ( #195,133 of 1,102,075 )
Recent downloads (6 months)2 ( #192,057 of 1,102,075 )
How can I increase my downloads?