Article | Proceedings of the 3rd International Workshop on Automatic Debugging; 1997 (AADEBUG-97) | Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging

Title:
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Author:
Adele E. Howe: Computer Science Department, Colorado State University, USA Gabriel Somlo: Computer Science Department, Colorado State University, USA
Download:
Full text (pdf) Full text (ps)
Year:
1997
Conference:
Proceedings of the 3rd International Workshop on Automatic Debugging; 1997 (AADEBUG-97)
Issue:
001
Article no.:
008
Pages:
79-86
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
1997-09-10
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
Linköping Electronic Articles in Computer and Information Science
ISSN (online):
1401-9841
Publisher:
Linköping University Electronic Press; Linköpings universitet


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.

Proceedings of the 3rd International Workshop on Automatic Debugging; 1997 (AADEBUG-97)

Author:
Adele E. Howe, Gabriel Somlo
Title:
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
References:

 Marc Abrams Alan Batongbacal Randy Ribler and Devendra Vazirani CHI TRA A tool to dynamically characterize ensembles of traces for input data modeling and output analysis Computer Science Dept   Virginia Poly technical Institute June 


 Horacio T Cadiz The development of a CHAIDbased model for CHITRA Computer Science dept Virginia Polytechnic Institute February 


 S Chien H Mortensen C Ying and S Hsiao Integrated planning for auto mated image processing In Working Notes of the AAAI Spring Symposium on Integrated Planning Applications March  


 Steve A Chien Static and completion analysis for planning knowledge base development and vericiation In Proceedings of the Third International Con ference on Articial Intelligence Planning Systems AIPS pages   May  


  David Christianson and Chung Kwok PDB Reference Manual University of Washington  edition


  Kristian J Hammond Explaining and repairing plans that fail In Proceedings of the Tenth International Joint Conference on Articial Intelligence pages   Milan Italy 


 Adele E Howe Improving the reliability of AI planning systems by analyzing their failure recovery IEEE Transactions on Knowledge and Data Engineering      


 Adele E Howe editor Working Notes of the AAAI Spring Symposium on Integrated Planning Systems Palo Alto CA March   AAAI


 Adele E Howe Detecting imperfect patterns in event streams using local search In D Fisher and H Lenz editors Learning from Data Articial Intel ligence and Statistics V SpringerVerlag   


 Adele E Howe and Paul R Cohen Detecting and explaining dependencies in execution traces In P Cheeseman and RW Oldford editors Selecting Mod els from Data Articial Intelligence and Statistics IV pages   Springer Verlag NYNY  


 Adele E Howe and Paul R Cohen Understanding planner behavior Articial Intelligence         


 Adele E Howe and Larry D Pyeatt Constructing transition models of AI plan ner behavior In Proceedings of the th KnowledgeBased Software Engineering Conference September   


 Eleftherios Koutsoos and Stephen C North Drawing graphs with dot AT T Bell Laboratories Murray Hill NJ October  


 Larry D Pyeatt Adele E Howe and Charles W Anderson Learning coordi nated behaviors for control of a simulated robot Technical report Computer Science Dept Colorado State University   


 Reid G Simmons A theory of debugging plans and interpretations In Pro ceedings of the Seventh National Conference on Articial Intelligence pages  Minneapolis MN  


 Robert R Sokal and F James Rohlf Biometry The Principles and Practice of Statistics in Biological Research WH Freeman and Co New York second edition   


 Raghavan Srinivasan and Adele E Howe Comparison of methods for improving search eciency in a partialorder planner In Proceedings of the th Interna tional Joint Conference on Articial Intelligence pages    Montreal CA August   


 David E Wilkins SIPE A system for interactive planning and execution http wwwaisricom sipe April  

Proceedings of the 3rd International Workshop on Automatic Debugging; 1997 (AADEBUG-97)

Author:
Adele E. Howe, Gabriel Somlo
Title:
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment