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» An MDP Approach for Explanation Generation
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EXACT
2007
13 years 7 months ago
An MDP Approach for Explanation Generation
In order to assist a power plant operator to face unusual situations, we have developed an intelligent assistant that explains the suggested commands generated by an MDP-based pla...
Francisco Elizalde, Luis Enrique Sucar, Alberto Re...
EXACT
2008
13 years 7 months ago
Explaining recommendations generated by MDPs
There has been little work in explaining recommendations generated by Markov Decision Processes (MDPs). We analyze the difculty of explaining policies computed automatically and id...
Omar Zia Khan, Pascal Poupart, James P. Black
AIPS
2009
13 years 5 months ago
Minimal Sufficient Explanations for Factored Markov Decision Processes
Explaining policies of Markov Decision Processes (MDPs) is complicated due to their probabilistic and sequential nature. We present a technique to explain policies for factored MD...
Omar Zia Khan, Pascal Poupart, James P. Black
EXACT
2008
13 years 7 months ago
Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and ca...
Francisco Elizalde, Luis Enrique Sucar, Julieta No...
SPIN
2012
Springer
11 years 7 months ago
Counterexample Explanation by Anomaly Detection
Since counterexamples generated by model checking tools are only symptoms of faults in the model, a significant amount of manual work is required in order to locate the fault that...
Stefan Leue, Mitra Tabaei Befrouei