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Learning & Behavior

, Volume 42, Issue 2, pp 185–199 | Cite as

Blocking in human causal learning is affected by outcome assumptions manipulated through causal structure

  • Fernando Blanco
  • Frank Baeyens
  • Tom Beckers
Article

Abstract

Additivity-related assumptions have been proven to modulate blocking in human causal learning. Typically, these assumptions are manipulated by means of pretraining phases (including exposure to different outcome magnitudes), or through explicit instructions. In two experiments, we used a different approach that involved neither pretraining nor instructional manipulations. Instead, we manipulated the causal structure in which the cues were embedded, thereby appealing directly to the participants’ prior knowledge about causal relations and how causes would add up to yield stronger outcomes. Specifically, in our “different-system” condition, the participants should assume that the outcomes would add up, whereas in our “same-system” condition, a ceiling effect would prevent such an assumption. Consistent with our predictions, Experiment 1 showed that, when two cues from separate causal systems were combined, the participants did expect a stronger outcome on compound trials, and blocking was found, whereas when the cues belonged to the same causal system, the participants did not expect a stronger outcome on compound trials, and blocking was not observed. The results were partially replicated in Experiment 2, in which this pattern was found when the cues were tested for the second time. This evidence supports the claim that prior knowledge about the nature of causal relations can affect human causal learning. In addition, the fact that we did not manipulate causal assumptions through pretraining renders the results hard to account for with associative theories of learning.

Keywords

Blocking Causal learning Cue competition 

Notes

Author note

Support for this research was provided by KU Leuven GOA Grant No. 3H051018. F. Blanco was consecutively supported by a KU Leuven F+ fellowship awarded to F. Baeyens (F+/10/009) and by a postdoctoral contract funded by the University of Deusto. We thank Itsaso Barberia, Yannick Boddez, Mathijs Franssen, Miguel A. Vadillo, and Bram Vervliet for their valuable comments. Special thanks are due Álvaro Ibañez for his help in recruiting the sample for Experiment 2.

References

  1. Arcediano, F., Matute, H., & Miller, R. R. (1997). Blocking of Pavlovian conditioning in humans. Learning and Motivation, 28, 188–199.CrossRefGoogle Scholar
  2. Baetu, I., & Baker, A. G. (2012). Are preventive and generative causal reasoning symmetrical? Extinction and competition. Quarterly Journal of Experimental Psychology, 65, 1675–1698.CrossRefGoogle Scholar
  3. 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.PubMedGoogle Scholar
  4. Beckers, T., Miller, R. R., De Houwer, J., & Urushihara, K. (2006). Reasoning rats: Forward blocking in Pavlovian animal conditioning is sensitive to constraints of causal inference. Journal of Experimental Psychology: General, 135, 92–102. doi: 10.1037/0096-3445.135.1.92 CrossRefGoogle Scholar
  5. Cheng, P. W. (1997). From covariation to causation: A causal power theory. Psychological Review, 104, 367–405. doi: 10.1037/0033-295X.104.2.367 CrossRefGoogle Scholar
  6. De Houwer, J., Beckers, T., & Glautier, S. (2002). Outcome and cue properties modulate blocking. Quarterly Journal of Experimental Psychology, 55, 965–985.PubMedCrossRefGoogle Scholar
  7. 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. doi: 10.3758/BF03196066 CrossRefGoogle Scholar
  8. Glautier, S. (2002). Spatial separation of target and competitor cues enhances blocking of human causality judgments. Quarterly Journal of Experimental Psychology, 55, 121–135.PubMedCrossRefGoogle Scholar
  9. Guez, D., & Stevenson, G. (2011). Is reasoning in rats really unreasonable? Revisiting recent associative accounts. Frontiers in Psychology, 2, 277. doi: 10.3389/fpsyg.2011.00277 PubMedCentralPubMedCrossRefGoogle Scholar
  10. Haselgrove, M. (2010). Reasoning rats or associative animals? A common-element analysis of the effects of additive and subadditive pretraining on blocking. Journal of Experimental Psychology: Animal Behavior Processes, 36, 296–306.PubMedGoogle Scholar
  11. Kamin, L. J. (1968). “Attention-like” processes in classical conditioning. In M. R. Jones (Ed.), Miami Symposium on the Prediction of Behavior: Aversive stimulation (pp. 9–31). Miami, FL: Miami University Press.Google Scholar
  12. 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. doi: 10.1080/02724990444000005 CrossRefGoogle Scholar
  13. Lovibond, P. F., Been, S.-L., Mitchell, C. J., Bouton, M. E., & Frohardt, R. J. (2003). Forward and backward blocking of causal judgment is enhanced by additivity of effect magnitude. Memory & Cognition, 31, 133–142.CrossRefGoogle Scholar
  14. Luque, D., Flores, A., & Vadillo, M. A. (2013). Revisiting the role of within-compound associations in cue-interaction phenomena. Learning & Behavior, 41, 61–76.CrossRefGoogle Scholar
  15. Mitchell, C. J., De Houwer, J., & Lovibond, P. F. (2009). The propositional nature of human associative learning. Behavioral and Brain Sciences, 32, 183–198, disc. 198–246.Google Scholar
  16. Mitchell, C. J., & Lovibond, P. F. (2002). Backward and forward blocking in human electrodermal conditioning: Blocking requires an assumption of outcome additivity. Quarterly Journal of Experimental Psychology, 55, 311–329.PubMedCrossRefGoogle Scholar
  17. Mitchell, C. J., Lovibond, P. F., & Condoleon, M. (2005). Evidence for deductive reasoning in blocking of causal judgments. Learning and Motivation, 36, 77–87.CrossRefGoogle Scholar
  18. Pavlov, I. P. (1927). Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex (G. V. Anrep, Trans.). London, UK: Oxford University Press.Google Scholar
  19. 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, NY: Appleton-Century-Crofts.Google Scholar
  20. Schmajuk, N. A., & Larrauri, J. (2008). Associative models can describe both causal learning and conditioning. Behavioural Processes, 77, 443–445.PubMedCrossRefGoogle Scholar
  21. Shanks, D. R. (1985). Forward and backward blocking in human contingency judgement. Quarterly Journal of Experimental Psychology, 37B, 1–21. doi: 10.1080/14640748508402082 Google Scholar
  22. Shanks, D. R., & Dickinson, A. (1987). Associative accounts of causality judgement. In G. H. Bower (Ed.), The psychology of learning and motivation (Vol. 21, pp. 229–261). San Diego, CA: Academic Press.Google Scholar
  23. 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.CrossRefGoogle Scholar
  24. Vandorpe, S., De Houwer, J., & Beckers, T. (2007). Outcome maximality and additivity training also influence cue competition in causal learning when learning involves many cues and events. Quarterly Journal of Experimental Psychology, 60, 356–368.CrossRefGoogle Scholar
  25. Waldmann, M. R. (2007). Combining versus analyzing multiple causes: How domain assumptions and task context affect integration rules. Cognitive Science, 31, 233–256.PubMedGoogle Scholar
  26. Widrow, B., & Hoff, M. (1960). Adaptive switching circuits. In Western Electronic Show and Convention Record (Vol. 4, pp. 96–104). New York, NY: Institute of Radio Engineers.Google Scholar

Copyright information

© Psychonomic Society, Inc. 2014

Authors and Affiliations

  • Fernando Blanco
    • 1
    • 2
    • 4
  • Frank Baeyens
    • 2
  • Tom Beckers
    • 2
    • 3
  1. 1.University of DeustoBilbaoSpain
  2. 2.KU LeuvenLeuvenBelgium
  3. 3.University of AmsterdamAmsterdamThe Netherlands
  4. 4.Departamento de Fundamentos y Métodos de la PsicologíaUniversity of DeustoBilbaoSpain

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