Advertisement

Where Do HPC and Cognitive Science Meet in Latin America?

  • Alvaro de la Ossa OseguedaEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 979)

Abstract

In the last few decades there has been a noticeable shift of attention of the high-performance computing (HPC) applications development community from deterministic to heuristic models of problem solving, mainly due to observation that models based on human knowledge and expertise have proven to be good approaches to solving complex problems. Also, a shift of artificial intelligence (AI) to HPC has occurred, as AI researchers now find in HPC the means to build more complex models of human cognition. This is in general the case, and it is also true in the Latin America region. On the other hand, in this region there seems to be an estrangement between the cognitive science (CS) and the AI communities, perhaps due to the shift of AI to HPC and the resulting change of attention of AI researchers. However, there is a noticeable increase in the number of academic programs in the region focusing on CS. In this article we provide evidence of the previous assertions and propose a list of suggestions or recommendations on how to bring the HPC and CogSci communities closer in the region, as well as the potential benefits of such a process.

Keywords

HPC Cognitive Science Artificial Intelligence Latin America 

Notes

Acknowledgments

The author wishes to thank the Organizing Committee of the CARLA 2018 conference for the kind invitation to participate as a speaker and as a contributor to these selected conference proceedings.

References

  1. 1.
    Vargas, R., Mosavi, A., Ruiz, R.: Deep learning: a review. Preprints 2018, 2018100218.  https://doi.org/10.20944/preprints201810.0218.v1
  2. 2.
    Shoham, Y., Perrault, R., Brynjolfsson, E., Clark, J.: Artificial Intelligence Index 2017 Annual Report. https://aiindex.org/2017/
  3. 3.
    Forbus, K.: AI and cognitive science: the past and next 30 years. Top. Cognit. Sci. 2, 345–356 (2010)CrossRefGoogle Scholar
  4. 4.
    McCarthy, J., Minsky, M.L., Rochester, N., Shannon, C.E.: A proposal for the Dartmouth summer research project on artificial intelligence, 31 August 1955. Queried on 30 October 2018. https://web.archive.org/web/20080930164306, http://www-formal.stanford.edu/jmc/history/dartmouth/dartmouth.html
  5. 5.
    Newell, A., Simon, H.: Human Problem Solving. Prentice-Hall, Englewood Cliffs (1972)Google Scholar
  6. 6.
    Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)Google Scholar
  7. 7.
    McCullogh, W.S., Pitts, W.H.: A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5, 115–133 (1943)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Nilsson, N.: Learning Machines: Foundations of Trainable Pattern-Classifying Systems. McGraw-Hill, New York (1965). (Reprinted as: Nilsson, N. The Mathematical Foundations of Learning Machines, Morgan Kaufmann, San Francisco, California, USA, 1990.)zbMATHGoogle Scholar
  9. 9.
    Rumelhart, D.E., McClelland, J.L.: Parallel Distributed Processing: Explorations in the Microstructure of Cognition–Foundations. The MIT Press, Cambridge (1987)Google Scholar
  10. 10.
    Rumelhart, D.E., McClelland, J.L.: Parallel Distributed Processing: Explorations in the Microstructure of Cognition–Psychological and Biological Models, vol. 2. The MIT Press, Cambridge (1987)Google Scholar
  11. 11.
    Norman, D.A.: Reflections on cognition and parallel distributed processing. In: Rumelhart, D.E., McClelland, J.L. (eds.) Parallel Distributed Processing, vol. 2, pp. 531–546. MIT Press, Cambridge (1987)Google Scholar
  12. 12.
    The Human Brain Project, 2013–2023. https://www.humanbrainproject.eu/en/
  13. 13.
    von Eckardt, B.: What is Cognitive Science? The MIT Press, Cambridge (1995). ISBN 9780262720236Google Scholar
  14. 14.
    Alfred P. Sloan Foundation, Cognitive Science 1978. Report of the State of the Art Committee to the Advisors of the Alfred P. Sloan Foundation. Alfred P. Sloan Foundation, October 1978. http://www.cbi.umn.edu/hostedpublications/pdf/CognitiveScience1978_OCR.pdf
  15. 15.
    Clark, A.: Mindware: An Introduction to the Philosophy of Cognitive Science. Oxford University Press, New York (2000)Google Scholar
  16. 16.
    Anderson, J.R.: Cognitive Psychology and Its Implications, 2nd edn. W H Freeman/Times Books/Henry Holt & Co., New York (1985)Google Scholar
  17. 17.
    Furman, M. (ed.): Trends in Neurosciences, vol. 42, no. 1, pp. 1–78. Cell Press, January 2019Google Scholar
  18. 18.
    Geeraerts, D., Cuyckens, H. (eds.): Introducing Cognitive Linguistics. The Oxford Handbook of Cognitive Linguistics, Oxford Handbools Online (2010). http://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780199738632.001.0001/oxfordhb-9780199738632-e-1
  19. 19.
    Damasio, A.: The Feeling of What Happens: Body and Emotion in the Making of Consciousness. Harvest Books, San Diego (2010)Google Scholar
  20. 20.
    Damasio, A.: Looking for Spinoza: Joy, Sorrow, and the Feeling Brain. Harcourt, San Diego (2003)Google Scholar
  21. 21.
    Sacks, O.: The Mind’s Eye. Random House, New York (2010)Google Scholar
  22. 22.
    Sacks, O.: The River of Consciousness. Alfred A Knopf, New York (2017)Google Scholar
  23. 23.
    Stone, P., et al.: Artificial Intelligence and Life in 2030. One Hundred Year Study on Artificial Intelligence: Report of the 2015–2016 Study Panel. Stanford University, Stanford, September 2016. http://ai100.standord.edu/2016-report. Accessed 30 Oct 30 2018
  24. 24.
    Trends in Cognitive Science. ScienceDirect, Elsevier. Queried on 30 October 2018. https://www.sciencedirect.com/journal/trends-in-cognitive-sciences/issues
  25. 25.
    González, J.C., Ojeda, R.I.: Francisco Varela y el desarrollo de las Ciencias Cognitivas en América Latina. Polis. Revista latinoamericana 15(44), 381–391 (2016)Google Scholar
  26. 26.
    Marmolejo Ramos, F.: A call to arms: time to do cognitive science in Latin America. Int. J. Psychol. Res. 1(2), 41–52 (2008)CrossRefGoogle Scholar
  27. 27.
    European Commission, International Cooperation. https://ec.europa.eu/research/iscp/index.cfm?pg=latin-americ-carib. Accessed 3 Jan 2019
  28. 28.
    Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, San Mateo (1993)CrossRefGoogle Scholar
  29. 29.
    Mehl, M.: Retrieval in case-based reasoning using preferred subtheories. In: Brewka, G., Jantke, K.P., Schmitt, P.H. (eds.) NIL 1991. LNCS, vol. 659, pp. 284–297. Springer, Heidelberg (1993).  https://doi.org/10.1007/BFb0030399CrossRefGoogle Scholar
  30. 30.
    Saborío-Morales, J.C., de la Ossa, A.: Case-based reasoning in parallel environments. In: Proceedings of the First International Workshop on Soft Computing Techniques in Cluster and Grid Computing Systems, SCCG 2012, Victoria, Canada. IEEE Conference Publishing Services (2012)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Computer Science and Informatics, Graduate Program in Cognitive ScienceUniversity of Costa RicaSan PedroCosta Rica

Personalised recommendations