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Some Adaptive Advantages of the Ability to Make Predictions

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From Animals to Animats 9 (SAB 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4095))

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Abstract

We describe some simple simulations showing two possible adaptive advantages of the ability to predict the consequences of one’s actions: predicted inputs can replace missing inputs and predicted success vs. failure can help deciding whether to actually executing a planned action or not. The neural networks controlling the organisms’ behaviour include distinct modules whose connection weights are all genetically inherited and evolved using a genetic algorithm except those of the predictive module which are learned during life.

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References

  1. Blakemore, S.-J., Frith, C.D., Wolpert, D.M.: The cerebellum is involved in predicting the sensory consequences of action. NeuroReport 12, 1879–1884 (2001)

    Article  Google Scholar 

  2. Nixon, P.D., Passingham, R.E.: Predicting sensory events. The role of the cerebellum in motor learning. Experimental Brain Research 138, 251–257 (2001)

    Google Scholar 

  3. Schubotz, R.I., von Cramon, D.Y.: Predicting perceptual events activates corresponding motor schemes in lateral premotor cortex: An fMRI study. NeuroImage 15, 787–796 (2002)

    Article  Google Scholar 

  4. Clark, A., Grush, R.: Towards a Cognitive Robotics. Adaptive Behavior 7, 5–16 (1999)

    Article  Google Scholar 

  5. Parisi, D., Cecconi, F., Nolfi, S.: Econets: Neural networks that learn in an environment. Network 1, 149–168 (1990)

    Article  Google Scholar 

  6. Nolfi, S., Elman, J.L., Parisi, D.: Learning and evolution in neural networks. Adaptive Behavior 3, 5–28 (1994)

    Article  Google Scholar 

  7. Jordan, M.I., Rumelhart, D.E.: Forward models: supervised learning with a distal teacher. Cognitive Science 16, 307–354 (1992)

    Article  Google Scholar 

  8. Sutton, R.S.: Learning to predict by the method of temporal differences. Machine Learning 3, 3–44 (1988)

    Google Scholar 

  9. Ackley, D.H., Littman, M.L.: Interactions between learning and evolution. In: Langton, C.G., Taylor, C., Farmer, C.D., Rasmussen, S. (eds.) Artificial Life II, pp. 487–509. Addison-Wesley, Reading (1992)

    Google Scholar 

  10. Nolfi, S., Tani, J.: Extracting regularities in space and time through a cascade of prediction networks: The case of a mobile robot navigating in a structured environment. Connection Science 11, 129–152 (1999)

    Article  Google Scholar 

  11. Buss, D.M. (ed.): The Handbook of Evolutionary Psychology. Wiley, New York (2005)

    Google Scholar 

  12. Bowlby, J.: Attachment and Loss. Attachment, vol. 1. Hogarth Press, London (1969)

    Google Scholar 

  13. Hurford, J.: The evolution of the critical period for language acquisition. Cognition 40, 159–201 (1991)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Caligiore, D., Tria, M., Parisi, D. (2006). Some Adaptive Advantages of the Ability to Make Predictions. In: Nolfi, S., et al. From Animals to Animats 9. SAB 2006. Lecture Notes in Computer Science(), vol 4095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840541_2

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  • DOI: https://doi.org/10.1007/11840541_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38608-7

  • Online ISBN: 978-3-540-38615-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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