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  • Cited by 4
  • Print publication year: 2008
  • Online publication date: June 2012

22 - Models of Animal Learning and Their Relations to Human Learning

from Part III - Computational Modeling of Various Cognitive Functionalities and Domains

Summary

This chapter outlines the historical origins and the state of art of computational models of psycholinguistic processes. It considers interrelationships between the different theoretical traditions in reaction to the Chomskyan revolution. The chapter focuses attention on topics that have the widest general theoretical implications, both for fields of computational cognitive modeling and for the project of cognitive science more broadly. The chapter outlines and contrasts symbolic, connectionist, and probabilistic approaches to the computational modeling of psycholinguistic phenomena. The chapter considers word segmentation and recognition, and single word reading. The chapter focuses primarily on parsing, relating connectionist and probabilistic models to the symbolic models of grammar and processing associated with Chomsky's program. The chapter reviews formal and computational models of language learning and re-evaluates, in the light of current computational work, Chomsky's early theoretical arguments for a strong nativist view of the computational mechanisms involved.

References

Aitken, M. R. F., & Dickinson, A. (2005). Simulations of a modified SOP model applied to retrospective revaluation of human causal learning. Learning & Behavior, 33, 147–159.
Aitken, M. R. F., Larkin, M. J. W., & Dickinson, A. (2001). Re-examination of the role of within-compound associations in the retrospective revaluation of causal judgements. Quarterly Journal of Experimental Psychology, 54B, 27–51.
Allan, L. G. (1993). Human contingency judgments: Rule-based or associative? Psychological Bulletin, 114, 435–448.
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.
Balleine, B. W., Espinet, A., & González, F. (2005). Perceptual learning enhances retrospective revaluation of conditioned flavor preferences in rats. Journal of Experimental Psychology: Animal Behavior Processes, 31, 341–350.
Beckers, T., De Houwer, J., Pineño, O., & Miller, R. R. (2005). Outcome additivity and outcome maximality influence cue competition in human causal learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 238–249.
Chapman, G. B., & Robbins, S. J. (1990). Cue interaction in human contingency judgment. Memory & Cognition, 18, 537–545.
Cheng, P. W. (1997). From covariation to causation: A causal power theory. Psychological Review, 104, 367–405.
Cobos, P. L., López, F. J., Caño, A., Almaraz, J., & Shanks, D. R. (2002). Mechanisms of predictive and diagnostic causal induction. Journal of Experimental Psychology: Animal Behavior Processes, 28, 331–346.
Cole, R. P., Barnet, R. C., & Miller, R. R. (1995). Effect of relative stimulus validity: Learning or performance deficit? Journal of Experimental Psychology: Animal Behavior Processes, 21, 293–303.
Corlett, P. R., Aitken, M. R. F., Dickinson, A., Shanks, D. R., Honey, G. D., Honey, R. A. E., et al. (2004). Prediction error during retrospective revaluation of causal associations in humans: fMRI evidence in favor of an associative model of learning. Neuron, 44, 877–888.
Crowder, R. G. (1976). Principles of learning and memory. Hillsdale, NJ: Lawrence Erlbaum.
De Houwer, J., & Beckers, T. (2002). Higher-order retrospective revaluation in human causal learning. Quarterly Journal of Experimental Psychology, 55B, 137–151.
De Houwer, J., & Beckers, T. (2003). Secondary task difficulty modulates forward blocking in human contingency learning. Quarterly Journal of Experimental Psychology, 56B, 345– 357.
De Houwer, J., Beckers, T., & Glautier, S. (2002). Outcome and cue properties modulate blocking. Quarterly Journal of Experimental Psychology, 55A, 965–985.
De Houwer, J., Beckers, T., & Vandorpe, S. (2005). Evidence for the role of higher order reasoning processes in cue competition and other learning phenomena. Learning & Behavior, 33, 239–249.
Denniston, J. C., Savastano, H. I., Blaisdell, A. P., & Miller, R. R. (2003). Cue competition as a retrieval deficit. Learning and Motivation, 34, 1–31.
Denniston, J. C., Savastano, H. I., & Miller, R. R. (2001). The extended comparator hypothesis: Learning by contiguity, responding by relative strength. In Mowrer R. R. & Klein S. B. (Eds.), Handbook of contemporary learning theories (pp. 65–117). Hillsdale, NJ: Lawrence Erlbaum.
Dickinson, A., & Burke, J. (1996). Within-compound associations mediate the retrospective revaluation of causality judgements. Quarterly Journal of Experimental Psychology, 49B, 60–80.
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.
Dwyer, D. M. (2001). Mediated conditioning and retrospective revaluation with LiCl then flavour pairings. Quarterly Journal of Experimental Psychology, 54B, 145–165.
Estes, W. K. (1986). Array models for category learning. Cognitive Psychology, 18, 500–549.
Ghirlanda, S. (2005). Retrospective revaluation as simple associative learning. Journal of Experimental Psychology: Animal Behavior Processes, 31, 107–111.
Goedert, K. M., & Spellman, B. A. (2005). Non-normative discounting: There is more to cue interaction effects than controlling for alternative causes. Learning & Behavior, 33, 197– 210.
Hinton, G. E. (1991). Mapping part-whole hierarchies into connectionist networks. In Hinton G. E. (Ed.), Connectionist symbol processing (pp. 47–76). Cambridge, MA: MIT Press.
Kamin, L. J. (1968). “Attention-like” processes in classical conditioning. In Jones M. R. (Ed.), Miami symposium on the prediction of behavior, 1967: Aversive stimulation (pp. 9– 31). Coral Gables, FL: University of Miami Press.
Kaufman, M. A., & Bolles, R. C. (1981). A nonas-sociative aspect of overshadowing. Bulletin of the Psychonomic Society, 18, 318–320.
Kruschke, J. K. (1996). Base rates in category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 3– 26.
Kruschke, J. K., & Blair, N. J. (2000). Blocking and backward blocking involve learned inattention. Psychonomic Bulletin & Review, 7, 636–645.
Larkin, M. J. W., Aitken, M. R. F., & Dickinson, A. (1998). Retrospective revaluation of causal judgments under positive and negative contingencies. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24, 1331– 1352.
Le Pelley, M. E. (2004). The role of associative history in models of associative learning: A selective review and a hybrid model. Quarterly Journal of Experimental Psychology, 57, 193– 243.
Le Pelley, M. E., & McLaren, I. P. L. (2001). Retrospective revaluation in humans: Learning or memory? Quarterly Journal of Experimental Psychology, 54B, 311–352.
Le Pelley, M. E., & McLaren, I. P. L. (2003). Learned associability and associative change in human causal learning. Quarterly Journal of Experimental Psychology, 56B, 68–79.
Le Pelley, M. E., & McLaren, I. P. L. (2004). Associative history affects the associative change undergone by both presented and absent cues in human causal learning. Journal of Experimental Psychology: Animal Behavior Processes, 30, 67–73.
Le Pelley, M. E., & McLaren, I. P. L. (2005). The role of associative history in human causal learning. In Wills A. J. (Ed.), New directions in human associative learning (pp. 125–153). Mahwah, NJ: Lawrence Erlbaum.
Le Pelley, M. E., Oakeshott, S. M., & McLaren, I. P. L. (2005). Blocking and unblocking in human causal learning. Journal of Experimental Psychology: Animal Behavior Processes, 31, 56– 70.
Lewandowsky, S., & Li, S.-C. (1995). Catastrophic interference in neural networks: Causes, solutions, and data. In Dempster F. N. & Brainerd C. J. (Eds.), Interference and inhibition in cognition (pp. 329–361). San Diego, CA: Academic Press.
Livesey, E. J., & Boakes, R. A. (2004). Outcome additivity, elemental processing and blocking in human causality judgements. Quarterly Journal of Experimental Psychology, 57B, 361– 379.
López, F. J., Cobos, P. L., & Caño, A. (2005). Associative and causal reasoning accounts of causal induction: Symmetries and asymmetries in predictive and diagnostic inferences. Memory & Cognition, 33, 1388–1398.
López, F. J., Cobos, P. L., Caño, A., & Shanks, D. R. (1998). The rational analysis of human causal and probability judgment. In Oaks-ford M. & Chater N. (Eds.), Rational models of cognition (pp. 314–352). Oxford, UK: Oxford University Press.
López, F. J., Shanks, D. R., Almaraz, J., & Fernández, P. (1998). Effects of trial order on contingency judgments: A comparison of associative and probabilistic contrast accounts. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24, 672–694.
Lovibond, P. F. (2003). Causal beliefs and conditioned responses: Retrospective revaluation induced by experience and by instruction. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 97–106.
Lovibond, P. F., Been, S.-L., Mitchell, C. J., Bouton, M. E., & Frohardt, R. (2003). Forward and backward blocking of causal judgment is enhanced by additivity of effect magnitude. Memory & Cognition, 31, 133–142.
Mackintosh, N. J. (1975). A theory of attention: Variations in the associability of stimuli with reinforcement. Psychological Review, 82, 276– 298.
Marr, D. (1976). Early processing of visual information. Transactions of the Royal Society of London, 275B, 483–519.
Matute, H., Arcediano, F., & Miller, R. R. (1996). Test question modulates cue competition between causes and between effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 182–196.
McDonald, R. J., Murphy, R. A., Guarraci, F. A., Gortler, J. R., White, N. M., & Baker, A. G. (1997). Systematic comparison of the effects of hippocampal and fornix-fimbria lesions on acquisition of three configural discriminations. Hippocampus, 7, 371–388.
Melchers, K. G., Lachnit, H., & Shanks, D. R. (2004). Within-compound associations in retrospective revaluation and in direct learning: A challenge for comparator theory. Quarterly Journal of Experimental Psychology, 57B, 25– 53.
Melchers, K. G., Lachnit, H., & Shanks, D. R. (in press). Stimulus coding in human associative learning: Flexible represntations of parts and wholes. Behavioural Processes.
Melchers, K. G., Lachnit, H., Üngör, M., & Shanks, D. R. (2005). Past experience can influence whether the whole is different from the sum of its parts. Learning and Motivation, 36, 20–41.
Miller, R. R., Barnet, R. C., & Grahame, N. J. (1995). Assessment of the Rescorla-Wagner model. Psychological Bulletin, 117, 363–386.
Miller, R. R., & Escobar, M. (2001). Contrasting acquisition-focused and performance-focused models of acquired behavior. Current Directions in Psychological Science, 10, 141–145.
Miller, R. R., & Matute, H. (1996). Biological significance in forward and backward blocking: Resolution of a discrepancy between animal conditioning and human causal judgment. Journal of Experimental Psychology: General, 125, 370–386.
Miller, R. R., & Matzel, L. D. (1988). The comparator hypothesis: A response rule for the expression of associations. In Bower G. H. (Ed.), The psychology of learning and motivation (Vol. 22, pp. 51–92). San Diego, CA: Academic Press.
Mitchell, C. J., Lovibond, P. F., & Condoleon, M. (2005). Evidence for deductive reasoning in blocking of causal judgments. Learning and Motivation, 36, 77–87.
O’Reilly, R. C., & Rudy, J. W. (2001). Conjunctive representations in learning and memory: Principles of cortical and hippocampal function. Psychological Review, 108, 311–345.
Pearce, J. M. (1994). Similarity and discrimination: A selective review and a connectionist model. Psychological Review, 101, 587
Pearce, J. M. (2002). Evaluation and development of a connectionist theory of configural learning. Animal Learning & Behavior, 30, 73– 95.
Pearce, J. M., & Bouton, M. E. (2001).Theories of associative learning in animals. Annual Review of Psychology, 52, 111–139.
Pearce, J. M., & Hall, G. (1980). A model for Pavlovian conditioning: Variations in the effectiveness of conditioned but not of unconditioned stimuli. Psychological Review, 87, 532– 552.
Perales, J. C., & Shanks, D. R. (2003). Normative and descriptive accounts of the influence of power and contingency on causal judgment. Quarterly Journal of Experimental Psychology, 56A, 977–1007.
Price, P. C., & Yates, J. F. (1995). Associative and rule-based accounts of cue interaction in contingency judgment. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 1639–1655.
Rescorla, R. A. (2000). Associative changes in excitors and inhibitors differ when they are conditioned in compound. Journal of Experimental Psychology: Animal Behavior Processes, 26, 428–438.
Rescorla, R. A., & Wagner, A. R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonre-inforcement. In Black A. H. & Prokasy W. F. (Eds.), Classical conditioning II: Current theory and research (pp. 64–99). New York: Appleton-Century-Crofts.
Rogers, T. T., & McClelland, J. L. (2004). Semantic cognition: A parallel distributed processing approach. Cambridge, MA: MIT Press.
Savastano, H. I., Arcediano, F., Stout, S. C., & Miller, R. R. (2003). Interaction between pre-exposure and overshadowing: Further analysis of the extended comparator hypothesis. Quarterly Journal of Experimental Psychology, 56B, 371–395.
Shanks, D. R. (1985). Forward and backward blocking in human contingency judgement. Quarterly Journal of Experimental Psychology, 37B, 1–21.
Shanks, D. R. (1987). Acquisition functions in causality judgment. Learning and Motivation, 18, 147–166.
Shanks, D. R. (1995). The psychology of associative learning. Cambridge, UK: Cambridge University Press.
Shanks, D. R. (2005). Connectionist models of basic human learning processes. In Houghton G. (Ed.), Connectionist models in cognitive psychology (pp. 45–82). Hove, UK: Psychology Press.
Shanks, D. R., Charles, D., Darby, R. J., & Azmi, A. (1998).Configural processes in human associative learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24, 1353–1378.
Shanks, D. R., & Darby, R. J. (1998). Featureand rule-based generalization in human associative learning. Journal of Experimental Psychology: Animal Behavior Processes, 24, 405– 415.
Shanks, D. R., Holyoak, K. J., & Medin, D. L. (Eds.). (1996). The psychology of learning and motivation: Causal learning (Vol. 34). San Diego, CA: Academic Press.
Shanks, D. R., & López, F. J. (1996). Causal order does not affect cue selection in human associative learning. Memory & Cognition, 24, 511–522.
Shanks, D. R., López, F. J., Darby, R. J., & Dickinson, A. (1996). Distinguishing associative and probabilistic contrast theories of human contingency judgment. In Shanks D. R., Holyoak K. J., & Medin D. L. (Eds.), The psychology of learning and motivation: Causal learning (Vol. 34, pp. 265–311). San Diego, CA: Academic Press.
Shevill, I., & Hall, G. (2004). Retrospective revaluation effects in the conditioned suppression procedure. Quarterly Journal of Experimental Psychology, 57B, 331–347.
Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psychological Bulletin, 119, 3–22.
Stout, S. C., & Miller, R. R. (2007). Sometimes-competing retrieval (SOCR): A formalization of the comparator hypothesis. Psychological Review, 114, 759–783.
Sun, R., Slusarz, P., & Terry, C. (2005). The interaction of the explicit and the implicit in skill learning: A dual-process approach. Psychological Review, 112, 159–192.
Sutherland, R. J., & Rudy, J. W. (1989). Configural association theory: The role of the hip-pocampal formation in learning, memory, and amnesia. Psychobiology, 17, 129–144.
Sutton, R. S., & Barto, A. G. (1981). Toward a modern theory of adaptive networks: Expectation and prediction. Psychological Review, 88, 135–170.
Tangen, J. M., & Allan, L. G. (2004). Cue interaction and judgments of causality: Contributions of causal and associative processes. Memory & Cognition, 32, 107–124.
van Hamme, L. J., & Wasserman, E. A. (1994). Cue competition in causality judgments: The role of nonpresentation of compound stimulus elements. Learning and Motivation, 25, 127–151.
Wagner, A. R. (1981). SOP: A model of automatic memory processing in animal behaviour. In Spear N. E. & Miller R. R. (Eds.), Information processing in animals: Memory mechanisms (pp. 5–47). Hillsdale, NJ: Lawrence Erlbaum.
Waldmann, M. R. (1996). Knowledge-based causal induction. In Shanks D. R., Holyoak K. J., & Medin D. L. (Eds.), The psychology of learning and motivation: Causal learning (Vol. 34, pp. 47–88). San Diego, CA: Academic Press.
Waldmann, M. R. (2000). Competition among causes but not effects in predictive and diagnostic learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 53–76.
Waldmann, M. R. (2001). Predictive versus diagnostic causal learning: Evidence from an overshadowing paradigm. Psychonomic Bulletin & Review, 8, 600–608.
Waldmann, M. R., & Hagmayer, Y. (2001). Estimating causal strength: The role of structural knowledge and processing effort. Cognition, 82, 27–58.
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.
Waldmann, M. R., & Walker, J. M. (2005). Competence and performance in causal learning. Learning & Behavior, 33, 211–229.
Wasserman, E. A. (1990). Detecting response-outcome relations: Toward an understanding of the causal texture of the environment. In Bower G. H. (Ed.), The psychology of learning and motivation (Vol. 26, pp. 27–82). New York: Academic Press.
Wasserman, E. A., & Berglan, L. R. (1998). Backward blocking and recovery from overshadowing in human causal judgement: The role of within-compound associations. Quarterly Journal of Experimental Psychology, 51B, 121– 138.
Wasserman, E. A., & Castro, L. (2005). Surprise and change: Variations in the strength of present and absent cues in causal learning. Learning & Behavior, 33, 131–146.
Wasserman, E. A., Elek, S. M., Chatlosh, D. L., & Baker, A. G. (1993). Rating causal relations: The role of probability in judgments of response-outcome contingency. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 174–188.
Wasserman, E. A., & Miller, R. R. (1997). What’s elementary about associative learning? Annual Review of Psychology, 48, 573–607.
Wickelgren, W. A. (1979). Chunking and consolidation: A theoretical synthesis of semantic networks, configuring in conditioning, S-R versus cognitive learning, normal forgetting, the amnesic syndrome, and the hippocampal arousal system. Psychological Review, 86, 44–60.
Williams, D. A. (1996). A comparative analysis of negative contingency learning in humans and nonhumans. In Shanks D. R., Holyoak K. J., & Medin D. L. (Eds.), The psychology of learning and motivation: Causal learning (Vol. 34, pp. 89–131). San Diego, CA: Academic Press.
Williams, D. A., Sagness, K. E., & McPhee, J. E. (1994). Configural and elemental strategies in predictive learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 694–709.
Winman, A., Wennerholm, P., Juslin, P., & Shanks, D. R. (2005). Evidence for rule-based processes in the inverse base-rate effect. Quarterly Journal of Experimental Psychology, 58A, 789–815.