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ENTCS
2006
181views more  ENTCS 2006»
15 years 24 days ago
Conditional Doxastic Models: A Qualitative Approach to Dynamic Belief Revision
In this paper, we present a semantical approach to multi-agent belief revision and belief update. For this, we introduce relational structures called conditional doxastic models (...
Alexandru Baltag, Sonja Smets
ATAL
2010
Springer
15 years 1 months ago
Optimal social laws
Social laws have proved to be a powerful and theoretically elegant framework for coordination in multi-agent systems. Most existing models of social laws assume that a designer is...
Thomas Ågotnes, Michael Wooldridge
ECAI
2008
Springer
15 years 2 months ago
Theoretical and Computational Properties of Preference-based Argumentation
During the last years, argumentation has been gaining increasing interest in modeling different reasoning tasks of an agent. Many recent works have acknowledged the importance of ...
Yannis Dimopoulos, Pavlos Moraitis, Leila Amgoud
93
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CIMCA
2005
IEEE
15 years 6 months ago
Oscillatory neural network for adaptive dynamical image processing
We develop a biologically motivated oscillatory network model and related dynamical synchronizationbased method of image segmentation. The first version of successive segmentation...
Margarita Kuzmina, Edward A. Manykin
INTERSPEECH
2010
14 years 7 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang