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» Learning Models of Intelligent Agents
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KESAMSTA
2010
Springer
15 years 8 months ago
Symmetry Approach to Evacuation Scenarios
The first trial of using the symmetry analysis method in modeling of behavior of complex social system is presented in this work. The evacuation of large building scenarios are d...
Wieslawa Sikora, Janusz Malinowski
120
Voted
ESAW
2006
Springer
15 years 7 months ago
A Norm-Governed Systems Perspective of Ad Hoc Networks
Ad hoc networks are a type of computational system whose members may fail to, or choose not to, comply with the laws governing their behaviour. We are investigating to what extent ...
Alexander Artikis, Lloyd Kamara, Jeremy Pitt
IDEAL
2000
Springer
15 years 7 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
AAAI
2008
15 years 6 months ago
Computing Minimal Diagnoses by Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
AAAI
2007
15 years 6 months ago
Answering Regular Path Queries in Expressive Description Logics: An Automata-Theoretic Approach
Expressive Description Logics (DLs) have been advocated as formalisms for modeling the domain of interest in various application areas. An important requirement is the ability to ...
Diego Calvanese, Thomas Eiter, Magdalena Ortiz