On the structure model interpretation of wright’s NESS test

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2671, Issue , 2003, Pages 9-23

  Baldwin, Richard A ^a   Neufeld, Eric ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATION THEORY; GEMS; LAWS AND LEGISLATION; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; TESTING;

OVERDETERMINATION; STRUCTURE MODELING;

TESTING; COMPUTER SCIENCE;

STRUCTURE MODEL; WRIGHT'S CRITICS; WRIGHT'S NESS TEST; WRIGHT'S TERMINOLOGY;

EID: 7044269094     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44886-1_4     Document Type: Conference Paper

References (12)

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2. Baldwin, Richard A (to appear). A Structural Model Interpretation of Wright’s NESS test. Department of Computer Science, University of Saskatchewan, MSc thesis.
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5. Halpern, J.Y., and Pearl, J. (2000). Causes and explanations: a structural-model approach. Retrieved from http://www.cs.cornell.edu/home/halpern/topics.html#rau September 3, 2001 (Part I, Causes, appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, San Francisco, CA: Morgan Kaufmann, 194-202, 2001.)
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10. Wright, R.W. (1985). Causation in tort law. California Law Review, 73, pp. 1735-1828.
11. Wright, R.W. (1988) Causation, responsibility, risk, probability, naked statistics, and proof: Pruning the bramble bush by clarifying the concepts. Iowa Law Review, 73, pp. 1001-1077.
12. Wright, R.W. (2001). Once more into the bramble bush: Duty, causal contribution, and the extent of legal responsibility [Electronic version]. Vanderbilt Law Review, 54 (3), pp. 1071-1132.