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WIAS
2010
109views more  WIAS 2010»
13 years 2 months ago
Model identification in interactive influence diagrams using mutual information
Modeling the perceived behaviors of other agents improves the performance of an agent in multiagent interactions. We utilize the language of interactive influence diagrams to mode...
Yifeng Zeng, Prashant Doshi
ICRA
2002
IEEE
128views Robotics» more  ICRA 2002»
14 years 12 days ago
Generation of a Task Model by Integrating Multiple Observations of Human Demonstrations
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the “Learning from Observation” framework. Most of the approaches so far assume t...
Koichi Ogawara, Jun Takamatsu, Hiroshi Kimura, Kat...
FMSB
2008
199views Formal Methods» more  FMSB 2008»
13 years 9 months ago
Bounded Asynchrony: Concurrency for Modeling Cell-Cell Interactions
We introduce bounded asynchrony, a notion of concurrency tailored to the modeling of biological cell-cell interactions. Bounded asynchrony is the result of a scheduler that bounds ...
Jasmin Fisher, Thomas A. Henzinger, Maria Mateescu...
ATAL
2007
Springer
13 years 11 months ago
Interactive dynamic influence diagrams
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
Kyle Polich, Piotr J. Gmytrasiewicz
IJCNN
2007
IEEE
14 years 1 months ago
Modeling Overlapping Execution/Observation Brain Pathways
— Recent brain imaging studies on primates revealed that a network of brain areas is activated both during observation and during execution of movements. The present work aims at...
Michail Maniadakis, Manolis Hourdakis, Panos E. Tr...