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» Causes and Explanations Revisited
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PADS
2009
ACM
15 years 6 months ago
Causal Program Slicing
Unexpected model behaviors need explanation, so valid behaviors can be separated from errors. Understanding unexpected behavior requires accumulation of insight into the behavior ...
Ross Gore, Paul F. Reynolds Jr.
AAAI
2012
13 years 1 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
SIGMOD
2011
ACM
152views Database» more  SIGMOD 2011»
14 years 1 months ago
Tracing data errors with view-conditioned causality
A surprising query result is often an indication of errors in the query or the underlying data. Recent work suggests using causal reasoning to find explanations for the surprisin...
Alexandra Meliou, Wolfgang Gatterbauer, Suman Nath...
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
15 years 5 months ago
Rigorously Bayesian range finder sensor model for dynamic environments
— This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. The modeling rigorously explains all model assumpt...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
PPSN
2000
Springer
15 years 2 months ago
Genetic Programming Bloat without Semantics
To investigate the fundamental causes of bloat, six artificial random binary tree search spaces are presented. Fitness is given by program syntax (the genetic programming genotype)...
William B. Langdon, Wolfgang Banzhaf