David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
The Rescorla–Wagner model has been a leading theory of animal causal induction for nearly 30 years, and human causal induction for the past 15 years. Recent theories (especially Psychol. Rev. 104 (1997) 367) have provided alternative explanations of how people draw causal conclusions from covariational data. However, theoretical attempts to compare the Rescorla–Wagner model with more recent models have been hampered by the fact that the Rescorla–Wagner model is an algorithmic theory, while the more recent theories are all computational. This paper provides a detailed derivation of the long-run behavior of the Rescorla– Wagner model under a wide range of parameters and experimental setups, so that the model can be compared with computational theories. It also shows that the model agrees with competing theories on a wider range of cases than had previously been thought. The paper concludes by showing how recently suggested modifications of the Rescorla–Wagner model impact the long-run behavior of the model
|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
Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum & Alison Gopnik (2011). Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults. Cognitive Science 35 (8):1407-1455.
Chrisantha Fernando (2013). From Blickets to Synapses: Inferring Temporal Causal Networks by Observation. Cognitive Science 37 (8):1426-1470.
Alison Gopnik (2004). Children's Causal Inferences From Indirect Evidence: Backwards Blocking and Bayesian Reasoning in Preschoolers. Cognitive Science 28 (3):303-333.
Inbal Arnon & Michael Ramscar (2012). Granularity and the Acquisition of Grammatical Gender: How Order-of-Acquisition Affects What Gets Learned. Cognition 122 (3):292-305.
Similar books and articles
Carlo Martini, Jan Sprenger & Mark Colyvan (2013). Resolving Disagreement Through Mutual Respect. Erkenntnis 78 (4):881-898.
H. R. Strong (1970). Construction of Models for Algebraically Generalized Recursive Function Theory. Journal of Symbolic Logic 35 (3):401-409.
Michael Rescorla (2009). Assertion and its Constitutive Norms. Philosophy and Phenomenological Research 79 (1):98-130.
Ullrich Wagner, Steffen Gais & Jan Born (2005). Refinements and Confinements in a Two-Stage Model of Memory Consolidation. Behavioral and Brain Sciences 28 (6):857-858.
Nicola Angius & Guglielmo Tamburrini (2011). Scientific Theories of Computational Systems in Model Checking. Minds and Machines 21 (2):323-336.
Hirotaka Kikyo (2000). Model Companions of Theories with an Automorphism. Journal of Symbolic Logic 65 (3):1215-1222.
Andreas Baudisch (2002). Generic Variations of Models of T. Journal of Symbolic Logic 67 (3):1025-1038.
Ulianov Montano (2013). Beauty in Science: A New Model of the Role of Aesthetic Evaluations in Science. [REVIEW] European Journal for Philosophy of Science 3 (2):133-156.
Michael Rescorla (2012). Copeland and Proudfoot on Computability. Studies in History and Philosophy of Science Part A 43 (1):199-202.
Trevor J. M. Bench-Capon & Giovanni Sartor (2003). A Model of Legal Reasoning with Cases Incorporating Theories and Values. Artificial Intelligence 150 (1-2):97-143.
Fiona Ellis (2010). Scruton's Wagner on God, Salvation, and Eros. British Journal of Aesthetics 50 (2):169-187.
Philip N. Johnson-Laird (1994). A Model Theory of Induction. International Studies in the Philosophy of Science 8 (1):5 – 29.
Added to index2010-09-14
Total downloads6 ( #214,156 of 1,102,059 )
Recent downloads (6 months)3 ( #128,871 of 1,102,059 )
How can I increase my downloads?