Skip to main content
Log in

Action-Based Causal Reasoning

  • Published:
Applied Intelligence Aims and scope Submit manuscript

Abstract

In this paper we present a causal theory based on aninterventionist conception of causality, i.e., a preference toselect causes among a set of actions which an agent has the abilityto perform or not to perform (free will). The most interestingproposals encountered in the literature, in nonmonotonic reasoning,all revolve around the ordered notion of similarity, abnormality,preference etc... but do not provide a full-fledgedsolution to the problem of the concrete definition of this order. Inour approach we relate the notion of action to norms (what isnormally the case when an action is undertaken, what is normally theoutcome of that action) and considering reasonable assumptions, weshow the existence and uniqueness of the set of voluntary causes foran observed effect (explanation problem). Moreover, the approach advocated in this paper handles ramifications correctly.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. “AI. Special issue on non-monotonic logics,” Artificial Intelligence, vol. 13,nos. 1–2, April 1980.

  2. J. Allen, “Towards a general theory of action and time,” Artificial Intelligence, vol. 23, pp. 123–154, 1984.

    Google Scholar 

  3. A.B. Baker, “A simple solution to the yale shooting problem,” in KR, pp. 11–20, 1989.

  4. A.B. Baker and M.L. Ginsberg, “Temporal projection and explanation,” in International Joint Conference on Artificial Intelligence, 1989.

  5. A.B. Baker and Y. Shoham, “Nonmonotonic temporal reasoning,” in The Handbook of Logic in Artificial Intelligence and Logic Programing, edited by D. Gabbay, 1989.

  6. J.P. Delgrande, “A first-order conditional logic for prototypical properties,” Artificial Intelligence, vol. 33, pp. 105–130, 1987.

    Google Scholar 

  7. S. Hanks and D.V. McDermott, “Nonmonotonic logic and temporal projection,” Artificial Intelligence, vol. 33, pp. 379–412, 1987.

    Google Scholar 

  8. B.A. Haugh, “Simple causal minimizations for temporal persistence and projection,” in AAAI, pp. 218–223, 1987.

  9. P.J. Hayes and J. McCarthy, “Some philosophical problems in artificial intelligence,” Machine Intelligence, edited by B. Meltzer and D. Michie, vol. 4., Edinburgh University Press, 1969.

  10. H.A. Kautz, “The logic of persistence,” in AAAI, pp. 401–405, 1986.

  11. S.A. Kripe, “Semantical consideration on modal logic,” Acta Philosophica Fennica, vol. 16, pp. 83–94, 1963.

    Google Scholar 

  12. V. Lifchitz, “Pointwise circumscription: Preliminary report,” in AAAI, pp. 406–410, 1986.

  13. J.L. Mackey, The Cement of the Universe: A Study of Causation, Oxford University Press, 1974.

  14. D.V. McDermott, “A temporal logic for reasoning about process and plans,” Cognitive Science, vol. 6, pp. 101–155, 1982.

    Google Scholar 

  15. D.V. McDermott, “A critique of pure reason,” Computational Intelligence, vol. 3, pp. 151–160, 1987.

    Google Scholar 

  16. A. Mokhtari, Apport des Logiques Non Classiques pour une Représentation de la Causalité. Thèse de Doctorat d'Université, LIPN Université Paris XIII, 1994.

  17. A. Mokhtari, Norme et action pour une représentation de la causalité. Congrés RFIA, pp. 553–562, 1994.

  18. L. Morgenstern and L.A. Stein, “Why things go wrong: a formal theory of causal reasoning,” in AAAI, 1988.

  19. E. Sandewall, “Filter preferential entailment for the logic of action in almost continuous worlds,” in International Joint Conference on Artificial Intelligence, 1989.

  20. E. Sandewall, “The range of applicability of nonmonotonic logics for the inertia problem,” in IJCAI, pp. 738–743, 1993.

  21. Y. Shoham, Reasoning About Change: Time and Causation from the Standpoint of Artificial Intelligence, MIT Press, 1988.

  22. Y. Shoham, “Time for action: on the relation between time, knowledge and action,” in IJCAI, pp. 954–1173, 1989.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mokhtari, A. Action-Based Causal Reasoning. Applied Intelligence 7, 99–111 (1997). https://doi.org/10.1023/A:1008261710574

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008261710574