Allan, L. G. (1980). A note on measurement of contingency between two binary variables in judgment tasks.Bulletin of the Psychonomic Society,15, 147–149.
Google Scholar
Allan, L. G. (1993). Human contingency judgments: Rule based or associative?Psychological Bulletin,114, 435–448.
PubMed
Google Scholar
Allan, L. G., &Jenkins, H. M. (1983). The effect of representations of binary variables on judgment of influence.Learning & Motivation,14, 381–405.
Google Scholar
Alloy, L. B., &Tabachnik, N. (1984). Assessment of covariation by humans and animals: The joint influence of prior expectations and current situational information.Psychological Review,91, 112–149.
PubMed
Google Scholar
Arkes, H. R., &Harkness, A. R. (1983). Estimates of contingency between two dichotomous variables.Journal of Experimental Psychology: General,112, 117–135.
Google Scholar
Ausubel, D. P., &Schiff, H. M. (1954). The effect of incidental and experimentally induced experience in the learning of relevant and irrelevant causal relationships by children.Journal of Genetic Psychology,84, 109–123.
PubMed
Google Scholar
Baker, A. G., Berbrier, M. W., &Vallee-Tourangeau, F. (1989). Judgments of a 2×2 contingency table: Sequential processing and the learning curve.Quarterly Journal of Experimental Psychology,41B, 65–97.
Google Scholar
Baker, A. G., &Mackintosh, N. J. (1977). Excitatory and inhibitory conditioning following uncorrelated presentations of CS and UCS.Animal Learning & Behavior,5, 315–319.
Google Scholar
Baker, A. G., Mercier, P., Vallee-Tourangeau, F., Frank, R., &Pan, M. (1993). Selective associations and causality judgments: Presence of a strong causal factor may reduce judgments of a weaker one.Journal of Experimental Psychology: Learning, Memory, & Cognition,19, 414–432.
Google Scholar
Benedict, J. O. (1991). Judgment of covariation in classical and instrumental conditioning contexts.Bulletin of the Psychonomic Society,29, 457–459.
Google Scholar
Benedict, J. O., &Ayres, J. B. (1972). Factors affecting conditioning in the truly random control procedure in the rat.Journal of Comparative & Physiological Psychology,78, 323–330.
Google Scholar
Bindra, D., Clarke, K. A., &Shultz, T. R. (1980). Understanding predictive relations of necessity and sufficiency in formally equivalent “causal” and “logical” problems.Journal of Experimental Psychology: General,109, 422–443.
Google Scholar
Bolles, R. C., Collier, A. C., Bouton, M. E., &Marlin, N. A. (1978). Some tricks for ameliorating the trace-conditioning deficit.Bulletin of the Psychonomic Society,11, 403–406.
Google Scholar
Breland, K., &Breland, M. (1961). The misbehavior of organisms.American Psychologist,16, 681–684.
Google Scholar
Brody, N. (1989). Unconscious learning of rules: Comment on Reber’s analysis of implicit learning.Journal of Experimental Psychology: General,118, 236–238.
Google Scholar
Bullock, M.(1984). Preschool children’s understanding of causal connections.British Journal of Developmental Psychology,2, 139–148.
Google Scholar
Bullock, M., &Gelman, R. (1979). Preschool children’s assumptions about cause and effect: Temporal ordering.Child Development,50, 89–96.
Google Scholar
Bullock, M., Gelman, R., &Baillargeon, R. (1982). The development of causal reasoning. In W. J. Friedman (Ed.),The developmental psychology of time (pp. 209–254). New York: Academic Press.
Google Scholar
Champagne, A. B., Klopfer, L. E., &Anderson, L. H. (1980). Factors influencing the learning of classical mechanics.American Journal of Physics,48, 1074–1079.
Google Scholar
Chapman, G. B. (1991). Trial order affects cue interaction in contingency judgment.Journal of Experimental Psychology: Learning, Memory, & Cognition,17, 837–854.
Google Scholar
Chapman, G. B., &Robbins, S. J. (1990). Cue interaction in human contingency judgment.Memory & Cognition,18, 537–545.
Google Scholar
Cheng, P. W. (1993). Separating causal laws from causal facts: Press ing the limits of statistical relevance. In D. Medin (Ed.),The psychology of learning and motivation (Vol. 30, pp. 215–264). San Diego: Academic Press.
Google Scholar
Cheng, P. W., &Novick, L. R. (1992). Covariation in natural causal induction.Psychological Review,99, 365–381.
PubMed
Google Scholar
Clement, J.(1982). Students’ preconceptions in introductory mechanics.American Journal of Physics,50, 66–71.
Google Scholar
Desmond, J. E., &Moore, J. W. (1988). Adaptive timing in neural networks: The conditioned response.Biological Cybernetics,58, 405–415.
PubMed
Google Scholar
Dickinson, A., Shanks, D. R., &Evenden, J. L. (1984). Judgement of act-outcome contingency: The role of selective attribution.Quarterly Journal of Experimental Psychology,36A, 29–50.
Google Scholar
Durlach, P. J. (1983). Effect of signaling intertrial unconditioned stimuli in autoshaping.Journal of Experimental Psychology: Animal Behavior Processes,9, 374–389.
PubMed
Google Scholar
Durlach, P. J. (1989). Learning and performance in Pavlovian conditioning: Are failures of contiguity failures of learning or performance? In S. B. Klein & R. R. Mowrer (Eds.),Contemporary learning theories: Pavlovian conditioning and the status of traditional learning theory (pp. 19–59). Hillsdale, NJ: Erlbaum.
Google Scholar
Egger, M. D., &Miller, N. E. (1962). Secondary reinforcement in rats as a function of information value and reliability of the stimulus.Journal of Experimental Psychology,64, 97–104.
PubMed
Google Scholar
Einhorn, H. J., &Hogarth, R. M. (1986). Judging probable cause.Psychological Bulletin,99, 3–19.
Google Scholar
Eysenck, M. W., &Keane, M. T. (1990).Cognitive psychology: A student’s handbook. Hove, U.K.: Erlbaum.
Google Scholar
Garcia, J., &Koelling, R. A. (1966). Relation of cue to consequence in avoidance learning.Psychonomic Science,4, 123–124.
Google Scholar
Gibbon, J., &Balsam, P. (1981). Spreading association in time. In C. M. Locurto, H. S. Terrace, & J. Gibbon (Eds.),Autoshaping and conditioning theory (pp. 219–253). New York: Academic Press.
Google Scholar
Grice, G. R. (1948). The relation of secondary reinforcement to delayed reward in visual discrimination learning.Journal of Experimental Psychology,38, 1–16.
PubMed
Google Scholar
Grossberg, S., &Schmajuk, N. A. (1989). Neural dynamics of adaptive timing and temporal discrimination during associative learning.Neural Networks,2, 79–102.
Google Scholar
Gruber, H. E., Fink, C. D., &Damm, V. (1957). Effects of experience on perception of causality.Journal of Experimental Psychology,53, 89–93.
PubMed
Google Scholar
Hall, G. (1991).Perceptual and associative learning. Oxford: Oxford University Press, Clarendon Press.
Google Scholar
Hallam, S. C., Grahame, N. J., &Miller, R. R. (1992). Exploring the edges of Pavlovian contingency space: An assessment of contingency theory and its various metrics.Learning & Motivation,23, 225–249.
Google Scholar
Hammond, L. J., &Paynter, W. E. (1983). Probabilistic contingency theories of animal conditioning: A critical analysis.Learning & Motivation,14, 527–550.
Google Scholar
Hammond, L. J., &Weinberg, M. (1984). Signaling unearned reinforcers removes the suppression produced by a zero correlation in an operant paradigm.Animal Learning & Behavior,12, 371–377.
Google Scholar
Harré, R., &Madden, E. H. (1975).Causal powers: A theory of natural necessity. Oxford: Blackwell.
Google Scholar
Holland, J. H., Holyoak, K. J., Nisbett, R. E., &Thagard, P. (1986).Induction: Processes of inference, learning and discovery. Cambridge, MA: MIT Press.
Google Scholar
Holland, P. C. (1986). Temporal determinants of occasion setting in feature-positive discriminations.Animal Learning & Behavior,14, 111–120.
Google Scholar
Holland, P. C. (1989a). Feature extinction enhances transfer of occasion setting.Animal Learning & Behavior,17, 269–279.
Google Scholar
Holland, P. C. (1989b). Occasion setting with simultaneous compounds in rats.Journal of Experimental Psychology: Animal Behavior Processes,15, 183–193.
Google Scholar
Hume, D. (1969).A treatise of human nature. New York: Penguin Books. (Original work published 1739)
Google Scholar
Kaiser, M. K., Proffitt, D. R., &McCloskey, M. (1985). The development of beliefs about falling objects.Perception & Psychophysics,38, 533–539.
Google Scholar
Kamin, L. J. (1969). Selective association and conditioning. In N. J. Mackintosh & W. K. Honig (Eds.),Fundamental issues in associative learning (pp. 42–64). Halifax, NS: Dalhousie University Press.
Google Scholar
Kao, S., &Wasserman, E. A. (1993). Assessment of an information integration account of contingency judgment with examination of subjective cell importance and method of information presentation.Journal of Experimental Psychology: Learning, Memory, & Cognition,19, 1363–1386.
Google Scholar
Kaplan, P. S., &Hearst, E. (1982). Bridging temporal gaps between CS and US in autoshaping: Insertion of other stimuli before, during, and after CS.Journal of Experimental Psychology: Animal Behavior Processes,8, 187–203.
PubMed
Google Scholar
Kehoe, E. J., Gibbs, C. M., Garcia, E., &Gormezano, I. (1979). Associative transfer and stimulus selection in classical conditioning of the rabbit’s nictitating membrane response to serial compound CSs.Journal of Experimental Psychology: Animal Behavior Processes,5, 1–18.
PubMed
Google Scholar
Kehoe, E. J., Horne, P. S., Macrae, M., &Horne, A. J. (1993). Realtime processing of serial stimuli in trace conditioning of the rabbit’s nictitating membrane response.Journal of Experimental Psychology: Animal Behavior Processes,19, 265–283.
PubMed
Google Scholar
Kehoe, E. J., Marshall-Goodell, B., &Gormezano, I. (1987). Differential conditioning of the rabbit’s nictitating membrane response to serial compound stimuli.Journal of Experimental Psychology: Animal Behavior Processes,13, 17–30.
PubMed
Google Scholar
Kehoe, E. J., &Napier, R. M. (1991). Real-time factors in the rabbit’s nictitating membrane response to pulsed and serial conditioned stimuli.Animal Learning & Behavior,19, 195–206.
Google Scholar
Kehoe, E. J., Schreurs, B. G., &Graham, P. (1987). Temporal primacy overrides prior training in serial compound conditioning of the rabbit’s nictitating membrane response.Animal Learning & Behavior,15, 455–464.
Google Scholar
Kelley, H. H. (1973). The processes of causal attribution.American Psychologist,28, 107–128.
Google Scholar
Killeen, P. R. (1981). Learning as causal inference. In M. L. Commons & J. L. Nevin (Eds.),Quantitative analyses of behavior: Discriminative properties of reinforcement schedules (pp. 89–112). Cambridge, MA: Ballinger.
Google Scholar
Killeen, P. R., &Smith, J. P. (1984). Perception of contingency in conditioning: Scalar timing, response bias, and erasure of memory by reinforcement.Journal of Experimental Psychology: Animal Behavior Processes,10, 333–345.
Google Scholar
Koslowski, B., &Okagaki, L. (1986). Non-Humean indices of causation in problem-solving situations: Causal mechanism, analogous effects, and the status of rival alternative accounts.Child Development,57, 1100–1108.
Google Scholar
Koslowski, B., Okagaki, L., Lorenz, C., &Umbach, D. (1989). When covariation is not enough: The role of causal mechanism, sampling method, and sample size in causal reasoning.Child Development,60, 1316–1327.
Google Scholar
Kuhn, D., &Phelps, H. (1976). The development of children’s comprehension of causal direction.Child Development,47, 248–251.
Google Scholar
Leslie, A. M. (1986). Getting development off the ground: Modularity and the infant’s perception of causality. In P. van Geert (Ed.),Theory building in development (pp. 405–437). Amsterdam: North-Holland.
Google Scholar
Leslie, A. M., &Keeble, S. (1987). Do six-month old infants perceive causality?Cognition,25, 265–288.
PubMed
Google Scholar
Lewicki, P. (1986). Processing information about covariations that cannot be articulated.Journal of Experimental Psychology: Learning, Memory, & Cognition,12, 135–146.
Google Scholar
Liebetrau, A. M. (1983).Measures of association. Beverly Hills, CA: Sage.
Google Scholar
Lubow, R. E. (1973). Latent inhibition.Journal of Comparative & Physiological Psychology,79, 398–407.
Google Scholar
Mackie, J. L. (1974).The cement of the universe: A study of causation. Oxford: Oxford University Press, Clarendon Press.
Google Scholar
Mackintosh, N. J. (1973). Stimulus selection: Learning to ignore stimuli that predict no change in reinforcement. In R. A. Hinde & S. J. Hinde (Eds.),Constraints on learning (pp. 75–96). London: Academic Press.
Google Scholar
Mackintosh, N. J. (1974).The psychology of animal learning. New York: Academic Press.
Google Scholar
Mackintosh, N. J. (1977). Conditioning as the perception of causal relations. In R. E. Butts & J. Hintikka (Eds.),Foundational problems in the special sciences (pp. 241–250). Dordrecht: D. Reidel.
Google Scholar
Matzel, L. D., Held, F. P., &Miller, R. R. (1988). Information and expression of simultaneous and backward associations: Implications for contiguity theory.Learning & Motivation,19, 317–344.
Google Scholar
Melz, E. R., Cheng, P. W., Holyoak, K. J., &Waldmann, M. R. (1993). Cue competition in human categorization: Contingency or the Rescorla-Wagner learning rule? Comment on Shanks (1991).Journal of Experimental Psychology: Learning, Memory, & Cognition,19, 1398–1410.
Google Scholar
Mendelson, R., &Shultz, T. R. (1976). Covariation and temporal contiguity as principles of causal inference in young children.Journal of Experimental Child Psychology,22, 408–412.
Google Scholar
Michotte, A. (1963).The perception of causality. London: Methuen.
Google Scholar
Miller, R. R.,Barnet, R. C., &Grahame, N. J. (in press). Assessment of the Rescorla-Wagner model.Psychological Bulletin.
Miller, R. R., &Schactman, T. R. (1985). Conditioning context as an associative baseline: Implications for response generation and the nature of conditioned inhibition. In P. D. Balsam & A. Tomie (Eds.),Information processing in animals: Conditioned inhibition (pp. 51–88). Hillsdale, NJ: Erlbaum.
Google Scholar
Nisbett, R. E., &Ross, L. (1980).Human inference: Strategies and shortcomings of social judgment. Englewood Cliffs, NJ: Prentice-Hall.
Google Scholar
Oakes, L. M., &Cohen, L. B. (1990). Infant perception of a causal event.Cognitive Development,5, 193–207.
Google Scholar
Papini, M. R., &Bitterman, M. E. (1990). The role of contingency in classical conditioning.Psychological Review,97, 396–403.
PubMed
Google Scholar
Pavlov, I. P. (1927).Conditioned reflexes (G. V. Anrep, trans.). London: Oxford University Press.
Google Scholar
Price, P. C., &Yates, J. F. (1993). Judgmental overshadowing: Further evidence of cue interaction in contingency judgment.Memory & Cognition,21, 561–572.
Google Scholar
Reber, A. S. (1989). Implicit learning and tacit knowledge.Journal of Experimental Psychology: General,118, 219–235.
Google Scholar
Reed, P. (1992). Effect of a signalled delay between an action and outcome on human judgement of causality.Quarterly Journal of Experimental Psychology,44B, 81–100.
Google Scholar
Reed, P., &Reilly, S. (1990). Context extinction following conditioning with delayed reward enhances subsequent instrumental responding.Journal of Experimental Psychology: Animal Behavior Processes,16, 48–55.
PubMed
Google Scholar
Rescorla, R. A. (1967). Pavlovian conditioning and its proper control procedures.Psychological Review,74, 71–80.
PubMed
Google Scholar
Rescorla, R. A. (1982). Effect of a stimulus intervening between CS and US in autoshaping.Journal of Experimental Psychology: Animal Behavior Processes,8, 131–141.
PubMed
Google Scholar
Rescorla, R. A. (1987). A Pavlovian analysis of goal-directed behavior.American Psychologist,42, 119–129.
Google Scholar
Rescorla, R. A., &Cunningham, C. L. (1979). Spatial contiguity facilitates Pavlovian second-order conditioning.Journal of Experimental Psychology: Animal Behavior Processes,5, 152–161.
PubMed
Google Scholar
Rescorla, R. A., &Solomon, R. L. (1967). Two-process learning theory: Relationships between Pavlovian conditioning and instrumental learning.Psychological Review,74, 151–182.
PubMed
Google Scholar
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 research and theory (pp. 64–99). New York: Appleton-Century-Crofts.
Google Scholar
Rosenfarb, I. S., Newland, M. C., Brannon, S. E., &Howey, D. S. (1992). Effects of self-generated rules on the development of schedulecontrolled behavior.Journal of the Experimental Analysis of Behavior,58, 107–121.
PubMed
Google Scholar
Schlottmann, A., &Shanks, D. R. (1992). Evidence for a distinction between judged and perceived causality.Quarterly Journal of Experimental Psychology,44A, 321–342.
Google Scholar
Shaklee, H. (1983). Human covariation judgment: Accuracy and strategy.Learning & Motivation,14, 433–448.
Google Scholar
Shaklee, H., &Elek, S. (1988). Cause and covariate: Development of two related concepts.Cognitive Development,3, 1–13.
Google Scholar
Shaklee, H., &Mims, M. (1981). Development of rule use in judgments of covariation between events.Child Development,52, 317–325.
Google Scholar
Shaklee, H., &Tucker, D. (1980). A rule analysis of judgments of covariation between events.Memory & Cognition,8, 459–467.
Google Scholar
Shanks, D. R. (1985). Forward and backward blocking in human contingency judgment.Quarterly Journal of Experimental Psychology,37B, 1–21.
Google Scholar
Shanks, D. R. (1989). Selectional processes in causality judgment.Memory & Cognition,17, 27–34.
Google Scholar
Shanks, D. R. (1991). Categorization by a connectionist network.Journal of Experimental Psychology: Learning, Memory, & Cognition,17, 433–443.
Google Scholar
Shanks, D. R. (1993a). Associative versus contingency accounts of category learning: Reply to Melz, Cheng, Holyoak, and Waldmann (1993).Journal of Experimental Psychology: Learning, Memory, & Cognition,19, 1411–1423.
Google Scholar
Shanks, D. R. (1993b). Human instrumental learning: A critical review of data and theory.British Journal of Psychology,84, 319–354.
PubMed
Google Scholar
Shanks, D. R., &Dickinson, A. (1987). Associative accounts of causality judgment. In G. H. Bower (Ed.),The psychology of learning and motivation (Vol. 21, pp. 229–261). San Diego: Academic Press.
Google Scholar
Shanks, D. R., Pearson, S. M., &Dickinson, A. (1989). Temporal contiguity and the judgement of causality by human subjects.Quarterly Journal of Experimental Psychology,41B, 139–159.
Google Scholar
Shultz, T. R. (1982). Rules of causal attribution.Monographs of the Society for Research in Child Development,47(1, Serial No. 194).
Shultz, T. R., Altmann, E., &Asselin, J. (1986). Judging causal priority.British Journal of Developmental Psychology,4, 67–74.
Google Scholar
Shultz, T. R., &Kestenbaum, N. R. (1985). Causal reasoning in children.Annals of Child Development,2, 195–249.
Google Scholar
Shultz, T. R., &Mendelson, R. (1975). The use of covariation as a principle of causal analysis.Child Development,46, 394–399.
Google Scholar
Shustack, M. W., &Sternberg, R. J. (1981). Evaluation of evidence in causal inference.Journal of Experimental Psychology: General,110, 101–120.
Google Scholar
Siegler, R. S., &Liebert, R. M. (1974). Effects of contiguity, regularity and age on children’s causal inference.Developmental Psychology,10, 574–579.
Google Scholar
Smith, M. C., Coleman, S. R., &Gormezano, I. (1969). Classical conditioning of the rabbit’s nictitating membrane response at backward, simultaneous, and forward CS-US intervals.Journal of Comparative & Physiological Psychology,69, 226–231.
Google Scholar
Sophian, C., &Huber, A. (1984). Early developments in children’s causal judgments.Child Development,55, 512–526.
Google Scholar
Spetch, M. L., Wilkie, D. M., &Pinel, J. P. J. (1981). Backward conditioning: A reevaluation of the empirical evidence.Psychological Bulletin,89, 163–175.
PubMed
Google Scholar
Suppes, P. (1970).A probabilistic theory of causality. Amsterdam: North-Holland.
Google Scholar
Suppes, P. (1984).Probabilistic metaphysics. New York: Blackwell.
Google Scholar
Sutton, R. S., &Barto, A. G. (1981). Toward a modern theory of adaptive networks: Expectation and prediction.Psychological Review,88, 135–170.
PubMed
Google Scholar
Testa, T. J. (1975). Effects of similarity of location and temporal intensity pattern of conditioned and unconditioned stimuli on the acquisition of conditioned suppression in rats.Journal of Experimental Psychology: Animal Behavior Processes,104, 114–121.
Google Scholar
Thorndike, E. L. (1932).The fundamentals of learning. New York: Macmillan.
Google Scholar
Trapold, M. A., &Overmier, J. B. (1972). The second learning process in instrumental learning. In A. A. Black & W. F. Prokasy (Eds.),Classical conditioning II: Current research and theory (pp. 427–452). New York: Appleton-Century-Crofts.
Google Scholar
Van Hamme, L. J., Kao, S.-F., &Wasserman, E. A. (1993). Judging interevent relations: From cause to effect and from effect to cause.Memory & Cognition,21, 802–808.
Google Scholar
Van Hamme, L. J., Ŵasserman, E. A. (1993). Cue competition in causality judgments: The role of manner of information presentation.Bulletin of the Psychonomic Society,31, 457–460.
Google Scholar
Van Hamme, L. J., &Wasserman, E. A. (1994). Cue competition in causality judgments: The role of nonpresentation of compound stimulus elements.Learning & Motivation,25, 127–151.
Google Scholar
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.
Google Scholar
Wagner, A. R., &Terry, W. S. (1975). Backward conditioning to a CS following an expected vs. a surprising UCS.Animal Learning & Behavior,3, 370–374.
Google Scholar
Waldmann, M. R., &Holyoak, K. J. (1992). Predictive and diagnostic learning within causal models: Asymmetries in cue competition.Journal of Experimental Psychology: General,121, 222–236.
Google Scholar
Ward, W. C., &Jenkins, H. M. (1965). The display of information and the judgment of contingency.Canadian Journal of Psychology,19, 231–241.
PubMed
Google Scholar
Wasserman, E. A. (1990a). Attribution of causality to common and distinctive elements of compound stimuli.Psychological Science,1, 298–302.
Google Scholar
Wasserman, E. A. (1990b). Detecting response-outcome relations: Toward an understanding of the causal structure of the environment. In G. H. Bower (Ed.),The psychology of learning and motivation (Vol. 26, pp. 27–82). San Diego: Academic Press.
Google Scholar
Wasserman, E. A., Elek, S. M., Chatlosh, D. L., &Baker, A. G. (1993). Rating causal relations: Role of probability in judgments of response-outcome contingency.Journal of Experimental Psychology: Learning, Memory, & Cognition,19, 174–188.
Google Scholar
Wasserman, E. A., &Neunaber, D. J. (1986). College students’ responding to and rating of contingency relations: The role of temporal contiguity.Journal of the Experimental Analysis of Behavior,46, 15–35.
PubMed
Google Scholar
Wasserman, E. A., &Shaklee, H. (1984). Judging response-outcome relations: The role of response-outcome contingency, outcome probability, and method of information presentation.Memory & Cognition,12, 270–286.
Google Scholar
White, P. A. (1989). A theory of causal processing.British Journal of Psychology,80, 431–454.
Google Scholar
White, P. A. (1992). Causal powers, causal questions, and the place of regularity in causal attribution.British Journal of Psychology,83, 161–188.
Google Scholar
Williams, D. A., Sagness, K. E., &McPhee, J. E. (1994). Configural and elemental strategies in predictive learning.Journal of Experimental Psychology: Learning, Memory, & Cognition,20, 694–709.
Google Scholar
Yates, J. F., &Curley, S. P. (1986). Contingency judgment: Primacy effects and attention decrement.Acta Psychologica,62, 293–302.
PubMed
Google Scholar
Young, M. E. (1992). A simple recurrent network model of serial conditioning: Implications for temporal event representation. InProceedings of the Fourteenth Annual Conference of the Cognitive Science Society (pp. 1164–1169). Hillsdale, NJ: Erlbaum.
Google Scholar
Young, M. E., &Bailey, T. M. (1994). Event prediction: Faster learning in a layered Hebbian network with memory. In M. C. Mozer, P. Smolensky, D. S. Touretzky, J. L. Elman, & A. S. Weigend (Eds.),Proceedings of the 1993 Connectionist Models Summer School (pp. 245–252). Hillsdale, NJ: Erlbaum.
Google Scholar
Young, M. E., &DeBauche, B. (1993). Causal mechanisms as temporal bridges in a connectionist model of causal attribution. InProceedings of the Fifteenth Annual Conference of the Cognitive Science Society (pp. 1092–1097). Hillsdale, NJ: Erlbaum.
Google Scholar