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» Designing Explanation Aware Systems: The Quest for Explanati...
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EXACT
2007
13 years 7 months ago
Designing Explanation Aware Systems: The Quest for Explanation Patterns
Systems in general, and intelligent systems in particular, need to be able to explain their behaviour to their users or partners. Previously, a number of different user goals that...
Jörg Cassens, Anders Kofod-Petersen
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
AAAI
2006
13 years 6 months ago
Building Explainable Artificial Intelligence Systems
As artificial intelligence (AI) systems and behavior models in military simulations become increasingly complex, it has been difficult for users to understand the activities of co...
Mark G. Core, H. Chad Lane, Michael van Lent, Dave...
MCS
2007
Springer
13 years 11 months ago
Classifier Combining Rules Under Independence Assumptions
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...
Shoushan Li, Chengqing Zong
NSPW
2004
ACM
13 years 10 months ago
The role of suspicion in model-based intrusion detection
We argue in favor of the explicit inclusion of suspicion as a concrete concept to be used in the analysis of audit data in order to guide the search for evidence of misuse. Our ap...
Timothy Hollebeek, Rand Waltzman