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Thomas Łukasiewicz (lukasiewicz-t)

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Bibliography

    Eiter, Thomas and Łukasiewicz, Thomas. 2000a. Complexity Results for Default Reasoning from Conditional Knowledge Bases.” in KR’00: Principles of Knowledge Representation and Reasoning, edited by Anthony G. Cohn, Fausto Giunchiglia, and Bart Selman, pp. 62–73. San Francisco, California: Morgan Kaufmann Publishers. Reprinted as Eiter and Łukasiewicz (2000b).
    Eiter, Thomas and Łukasiewicz, Thomas. 2000b. Complexity Results for Default Reasoning from Conditional Knowledge Bases.” Artificial Intelligence 124(2): 169–241.
    Eiter, Thomas and Łukasiewicz, Thomas. 2002a. Complexity Results for Structure-Based Causality.” Artificial Intelligence 142(1): 53–89.
    Eiter, Thomas and Łukasiewicz, Thomas. 2002b. Complexity Results for Explanations in the Structural-Model Approach.” in KR’02: Principles of Knowledge Representation and Reasoning, edited by Dieter Fensel, Fausto Giunchiglia, Deborah L. McGuinness, and Mary-Anne Williams, pp. 49–60. San Francisco, California: Morgan Kaufmann Publishers. Republished as Eiter and Łukasiewicz (2004).
    Eiter, Thomas and Łukasiewicz, Thomas. 2004. Complexity Results for Explanations in the Structural-Model Approach.” Artificial Intelligence 154(1–2): 145–198.
    Kern-Isberner, Gabriele and Łukasiewicz, Thomas. 2004. Combining Probabilistic Logic Programming with the Power of Maximum Entropy.” Artificial Intelligence 157(1–2): 139–202.
    Łukasiewicz, Thomas. 1998. Probabilistic Deduction with Conditional Constraints over Basic Events.” in KR’98: Principles of Knowledge Representation and Reasoning, edited by Anthony G. Cohn, Lenhart K. Schubert, and Stuart C. Shapiro, pp. 380–391. San Francisco, California: Morgan Kaufmann Publishers.