On Presence, Collective Performance and Assumptions of Causality

  • Mark McGovern
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 113)


The ways we assume, observe and model “presence” and its effects are the focus in this paper. Entities with selectively shared presences are the basis of any collective, and of attributions (such as “humorous”, “efficient” or “intelligent”). The subtleties of any joint presence can markedly influence potentials, perceptions and performance of the collective as demonstrated when a humorous tale is counterpoised with disciplined thought. Disciplines build on presences assumed known or knowable while fluid and interpretable presences pervade humor. Explorations in this paper allow considerations of collectives, causality and the philosophy of computing. Economics has long considered issues of collective action in ways circumscribed by assumptions about the presence of economic entities. Such entities are deemed rational but they are clearly not intelligent. To reach its potential, collective intelligence research needs more adequate considerations of alternate presences and their impacts.


Presence humour causality collective performance economics 


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  1. 1.
    Berger, A.: What’s So Funny About That? Society 47(1), 6–10 (2010)CrossRefGoogle Scholar
  2. 2.
    Binsted, K., et al.: Computational Humor. IEEE Intelligent Systems 21(2), 59–69 (2006)CrossRefGoogle Scholar
  3. 3.
    de Bono, E.: I am right - you are wrong: from this to the new Renaissance: from rock logic to water logic, Penguin, Harmondsworth (1991)Google Scholar
  4. 4.
    Chandler, A.D.: The visible hand: the managerial revolution in American business. Harvard University Press, Cambridge (1977)Google Scholar
  5. 5.
    Coase, R.H.: The Firm, the Market and the Law. University of Chicago Press, Chicago (1988)Google Scholar
  6. 6.
    Davis, P.J., Hersh, R.: Descartes’ Dream. The world according to mathematics. Pengin, Ringwood (1986)MATHGoogle Scholar
  7. 7.
    Mihalcea, R., Strapparava, C.: Learning to laugh (automatically). Computational models for humor recognition. Computational Intelligence 22(2), 126–142 (2006)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Minsky, M.: Jokes and the Logic of the Cognitive Unconscious. In: AI Memo No. 6031980. MIT, BostonGoogle Scholar
  9. 9.
    Olson, M.: The logic of collective action: public goods and the theory of groups. Harvard University Press, Cambridge (1965)Google Scholar
  10. 10.
    Raskin, V.: Semantic Mechanisms of Humor. Reidel, Boston (1985)Google Scholar
  11. 11.
    Raskin, V., Nirenburg, S.: Ontological Semantics. MIT Press, Cambridge (2004)Google Scholar
  12. 12.
    Ritchie, G.: Current Directions in Computational Humour. Artificial Intelligence Review 16(2), 119–135 (2001)CrossRefMATHGoogle Scholar
  13. 13.
    Russell, B.: An outline of philosophy. Allen and Unwin, London (1927)Google Scholar
  14. 14.
    Stock, O., Strapparava, C.: Getting Serious about the Development of Computational Humor. In: IJCAI 2003 Proceedings of the 18th International Joint Conference on Artificial Intelligence, Morgan Kaufmann Mathematics, Ringwood (1986)Google Scholar
  15. 15.
    White, E.B.: Some Remarks on Humor. Preface to: A Subtreasury of American Humor (1941)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Queensland University of TechnologyBrisbaneAustralia

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