Distributed Artificial Intelligence
Distributed Artificial Intelligence
Toward a taxonomy of multi-agent systems
International Journal of Man-Machine Studies
Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1
Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1
The B-book: assigning programs to meanings
The B-book: assigning programs to meanings
Foundations of distributed artificial intelligence
Real-time search for learning autonomous agents
Real-time search for learning autonomous agents
Applications of intelligent agents
Agent technology
Mutual disambiguation of recognition errors in a multimodel architecture
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Multimodal system processing in mobile environments
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Something from nothing: augmenting a paper-based work practice via multimodal interaction
DARE '00 Proceedings of DARE 2000 on Designing augmented reality environments
A Petri Net based Environment for the Design of Event-driven Interfaces
Proceedings of the 16th International Conference on Application and Theory of Petri Nets
Multi-Modal Tracking of Faces for Video Communications
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
“Put-that-there”: Voice and gesture at the graphics interface
SIGGRAPH '80 Proceedings of the 7th annual conference on Computer graphics and interactive techniques
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The multimodal featuring fusion for natural human-computer interaction involves complex intelligent architectures to face unexpected errors and mistakes made by users. These architectures should react to events that occur simultaneously with eventual redundancy from different input media. In this paper, agent based generic architectures for multimedia multimodal dialog protocols are proposed. Global agents are decomposed into relevant components. Each element is modeled separately. The elementary models are then linked together into timed colored Pétri nets to obtain the full architecture. Hence, maintainability, understandability and modification of the architecture are facilitated. For validation purpose, the proposed multi-agent architectures are applied on a practical example.