Formal ontology, conceptual analysis and knowledge representation
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Ontologies for semantically interoperable systems
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Tutorial on agent-based modeling and simulation part 2: how to model with agents
Proceedings of the 38th conference on Winter simulation
MultiML: a general purpose representation language for multimodal human utterances
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Building multimodal applications with EMMA
Proceedings of the 2009 international conference on Multimodal interfaces
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Since 1960, AI researchers have worked on intelligent and reactive architectures capable of managing multiple events and acts in the environment. This issue is part of the Robotics domain. An extraction of meaning at different levels of abstraction and the decision process must be implemented in the robot brain to accomplish the multimodal interaction with humans in a human environment. This paper presents a semantic agents architecture giving the robot the ability to understand what is happening and thus provide more robust responses. Intelligence and knowledge about objects like behaviours in the environment are stored in two ontologies linked to an inference engine. To store and exchange information, an event knowledge representation language is used by semantic agents. This architecture brings other advantages: pervasive, cooperating, redundant, automatically adaptable, and interoperable. It is independent of platforms.