Selective associations and causality judgments: Presence of a strong causal factor may reduce judgments of a weaker one.

In 5 experiments, humans played video games in which 2 events or causes covaried with an outcome. In Experiments 1 and 2, a highly correlated cause (a plane) of an outcome (success at traversing a minefield) reduced judgments of the strength of a weaker cause (camouflaging or painting a tank). In Experiment 3, similar results were found when both causes were negatively correlated with the outcome. In Experiment 4, strong positive or negative contingencies caused the subjects to reduce judgments of contingencies of the opposite polarity. These results can be accounted for by associative or connectionist models from animal learning such as the Rescorla-Wagner model. In Experiment 5, this type of model was contrasted with a representational model in which subjects are claimed to monitor accurately the various contingencies but use a rule in which the presence of a strong contingency causes them to discount weaker contingencies

[1]  E. Wasserman,et al.  Rating causal relations: Role of probability in judgments of response-outcome contingency. , 1993 .

[2]  P. Cheng,et al.  Covariation in natural causal induction. , 1992, Psychological review.

[3]  G. Chapman,et al.  Trial order affects cue interaction in contingency judgment. , 1991, Journal of experimental psychology. Learning, memory, and cognition.

[4]  David R. Shanks,et al.  CATEGORIZATION BY A CONNECTIONIST NETWORK , 1991 .

[5]  E. Wasserman.  Attribution of Causality to Common and Distinctive Elements of Compound Stimuli , 1990 .

[6]  G. Chapman,et al.  Cue interaction in human contingency judgment , 1990, Memory & cognition.

[7]  D R Shanks,et al.  Connectionism and the Learning of Probabilistic Concepts , 1990, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[8]  S. Klein,et al.  Pavlovian conditioning and the status of traditional learning theory , 1991 .

[9]  Frédéric Vallée-Tourangeau,et al.  Judgements of a 2 × 2 Contingency Table: Sequential processing and the Learning Curve , 1989 .

[10]  Attention, retrospective processing and cognitive representations. , 1989 .

[11]  K. Holyoak,et al.  A Theory of Conditioning: Inductive Learning within Rule-Based Default Hierarchies. , 1989 .

[12]  G. Bower,et al.  From conditioning to category learning: an adaptive network model. , 1988, Journal of experimental psychology. General.

[13]  A. Dickinson,et al.  Associative Accounts of Causality Judgment , 1988 .

[14]  D. Funder,et al.  Errors and mistakes: evaluating the accuracy of social judgment. , 1987, Psychological bulletin.

[15]  D. Shanks.  Selective attribution and the judgment of causality , 1986 .

[16]  James L. McClelland,et al.  PDP models and general issues in cognitive science , 1986 .

[17]  Geoffrey E. Hinton,et al.  The appeal of parallel distributed processing , 1986 .

[18]  R. Hogarth,et al.  Judging probable cause. , 1986 .

[19]  Brian H. Ross,et al.  Multicausal Inference. Evaluation of Evidence in Causally Complex Situations , 1985 .

[20]  D R Shanks,et al.  Continuous monitoring of human contingency judgment across trials , 1985, Memory & cognition.

[21]  D. Shanks.  Forward and Backward Blocking in Human Contingency Judgement , 1985 .

[22]  Ralph R. Miller,et al.  Information processing in animals : conditioned inhibition , 1985 .

[23]  A. Dickinson,et al.  Judgement of Act-Outcome Contingency: The Role of Selective Attribution , 1984 .

[24]  Edward A. Wasserman,et al.  Perception of causal relations in humans: Factors affecting judgments of response-outcome contingencies under free-operant procedures☆ , 1983 .

[25]  H. Jungermann.  The Two Camps on Rationality , 1983 .

[26]  Harriet Shaklee,et al.  Sources of error in judging event covariations: Effects of memory demands. , 1982 .

[27]  G. A. Miller,et al.  Book Review Nisbett, R. , & Ross, L.Human inference: Strategies and shortcomings of social judgment.Englewood Cliffs, N.J.: Prentice-Hall, 1980. , 1982 .

[28]  T. Shultz.  Rules of Causal Attribution. , 1982 .

[29]  R. Bolles,et al.  A nonassociative aspect of overshadowing , 1981 .

[30]  A. G. Baker,et al.  Contextual conditioning and the US preexposure effect in conditioned fear. , 1981, Journal of experimental psychology. Animal behavior processes.

[31]  L. Ross,et al.  Human Inference: Strategies and Shortcomings of Social Judgment. , 1981 .

[32]  L. Z. McArthur,et al.  Illusory Causation and Illusory Correlation , 1980 .

[33]  J. Pearce,et al.  A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli. , 1980, Psychological review.

[34]  L. Allan.  A note on measurement of contingency between two binary variables in judgment tasks , 1980 .

[35]  W. Kintsch,et al.  Memory and cognition , 1977 .

[36]  A. G. Baker.  Learned Irrelevance and Learned Helplessness: Rats Learn that Stimuli, Reinforcers, and Responses are Uncorrelated. , 1976 .

[37]  N. Mackintosh.  A Theory of Attention: Variations in the Associability of Stimuli with Reinforcement , 1975 .

[38]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[39]  A. G. Baker.  Conditioned inhibition is not the symmetrical opposite of conditioned excitation: A test of the Rescorla-Wagner model , 1974 .

[40]  R. Rescorla,et al.  Extinction of Pavlovian conditioned inhibition. , 1974, Journal of comparative and physiological psychology.

[41]  Daniel Kahneman,et al.  Availability: A heuristic for judging frequency and probability , 1973 .

[42]  H. Kelley.  The processes of causal attribution. , 1973 .

[43]  W. F. Prokasy,et al.  Classical conditioning II: Current research and theory. , 1972 .

[44]  R. Rescorla,et al.  A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement , 1972 .

[45]  K. Haberlandt,et al.  Stimulus selection in animal discrimination learning. , 1968, Journal of experimental psychology.

[46]  John Garcia,et al.  Relation of cue to consequence in avoidance learning , 1966 .

[47]  C. L. Hull,et al.  A Behavior System , 1954 .

[48]  R. R. Bush,et al.  A Mathematical Model for Simple Learning , 1951 .