Allan R. Wagner

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Allan Wagner

Allan R. Wagner (born 1934) is an American experimental psychologist and learning theorist, whose work has focused upon the basic determinants of associative learning and habituation. He is the co-author of the influential Rescorla–Wagner model of Pavlovian conditioning (1972) as well as the standard operating procedures or "sometimes opponent process" (SOP) theory of associative learning (1981), the Affective Extension of SOP (AESOP, 1989) and the Replaced Elements Model (REM) of configural representation (2001, 2008). His research has involved extensive study of the conditioned eyeblink response of the rabbit, of which he was one of the initial investigators (1964). His scientific contributions have been recognized by his receipt of the Howard Crosby Warren Medal of the Society of Experimental Psychologists (1991), the Distinguished Scientific Contribution Award of the American Psychological Association (1999), the W. Horsley Gantt Medal of the Pavlovian Society (2009), and election to membership in the National Academy of Sciences (1999). He received his Ph D. from the University of Iowa in 1959, under Kenneth W. Spence, and has been on the faculty of Yale University since that time, serving as Chair of the Department of Psychology from 1983-1989, Chair of the Department of Philosophy from 1991–1993, and Director of the Division of the Social Sciences from 1992-1998. He is currently the James Rowland Angell Professor of Psychology.

Selected publications

  • Logan, F.A., & Wagner, A.R. (1965). Reward and punishment. Boston: Allyn and Bacon.
  • Wagner, A.R., Logan, F.A., Haberlandt, K., & Price, T. (1968). Stimulus selection in animal discrimination learning. Journal of Experimental Psychology, 76, 171-180.
  • Wagner, A.R. (1969). Frustrative nonreward: A variety of punishment. In B.A. Campbell & R.M. Church (eds.), Punishment and aversive behavior (pp.157- 181). New York: Appleton-Century-Crofts.
  • Wagner, A.R. (1969). Stimulus selection and a "modified continuity theory." In G.H. Bower & J.T. Spence (Eds.), The psychology of learning and motivation Vol. 3 (pp. 1-41). New York: Academic Press.
  • Wagner, A.R., & Rescorla, R.A. (1972). Inhibition in Pavlovian conditioning: Application of a theory. In R.A. Boakes & M.S. Halliday (Eds.), Inhibition and learning (pp. 301-336). London: Academic Press.
  • Rescorla, R.A., & Wagner, A.R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. In A.H. Black & W.F. Prokasy (Eds.), Classical conditioning II: Current theory and research (pp. 64-99). New York: Appleton-Century-Crofts.
  • Wagner, A.R. (1978). Expectancies and the priming of STM. In S.H. Hulse, H. Fowler, & W.K. Honig (Eds.), Cognitive processes in animal behavior (pp. 177-209). Hillsdale, NJ: Erlbaum.
  • Wagner, A.R. (1981). SOP: A model of automatic memory processing in animal behavior. In N.E. Spear & R.R. Miller (Eds.), Information processing in animals: Memory mechanisms (pp. 5-47). Hillsdale, NJ: Erlbaum.
  • Wagner, A.R., & Brandon, S.E. (1989). Evolution of a structured connectionist model of Pavlovian conditioning (ÆSOP). In S.B. Klein and R.R. Mowrer (Eds.), Contemporary learning theories: Pavlovian conditioning and the status of traditional learning theories. (pp. 149-189). Hillsdale, NJ: Erlbaum.
  • Wagner, A. R., & Donegan, N. (1989). Some relationships between a computational model (SOP) and an essential neural circuit for Pavlovian (rabbit eyeblink) conditioning. In R. D. Hawkins and G. H. Bower (Eds.), Computational models of learning in simple neural systems: The psychology of learning and motivation, Vol. 23. (pp. 157-203). New York: Academic Press.
  • Wagner, A.R., & Brandon, S.E., (2001) A componential theory of Pavlovian Conditioning. In R.R. Mowrer and S.B. Klien (Eds.) Handbook of Contemporary Learning Theories (pp. 23-64) Mahwah, NJ. Erlbaum.
  • Wagner, A.R. (2008). Evolution of an elemental theory of Pavlovian conditioning. Learning and Behavior. 36, 253-265.
  • Wagner, A.R.., & Vogel, E. H. (2010) Associative modultion of US processing: Implications for understanding of habituation. In N. Schmajuk (Ed.) Computational models of associative learning. pp.150-185, Cambridge: Cambridge University Press.

External links

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