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Authors:Adele E. Howe: Computer Science Department, Colorado State University, USA
Gabriel Somlo: Computer Science Department, Colorado State University, USA
Publication title:Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Conference:Proceedings of the 3rd International Workshop on Automatic Debugging, 1997 (AADEBUG-97)
Publication type: Abstract and Fulltext
Issue:001
Article No.:008
Abstract:Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes stochastic decision making, replicating problematic performance may be difficult. Consequently, we adopt a statistical approach to modeling behavior as the basis for identifying potential causes of failure. This paper describes an algorithm for constructing state transition models of system behavior from execution traces. The algorithm is the latest in a family of statistics based algorithms for modelling system execution called Dependency Detection. We present preliminary accuracy results for the algorithm on synthetically generated data and an example of its use in debugging a neural network controller for a race car simulator.
Language:English
Year:1997
No. of pages:8
Pages:79-86
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ea/cis/1997/009/08/cis9700908.pdf
Available:1997-09-10
Publisher:Linköping University Electronic Press, Linköpings universitet

REFERENCE TO THIS PAGE
Adele E. Howe, Gabriel Somlo (1997). Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging, Proceedings of the 3rd International Workshop on Automatic Debugging, 1997 (AADEBUG-97) http://www.ep.liu.se/ecp_article/index.en.aspx?issue=001;article=008 (accessed 4/18/2014)