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In this paper we propose a mechanism of prediction of domestic human activity in a smart home context. We use those predictions to adapt the behavior of home appliances whose impact on the environment is delayed (for example the heating). The behaviors of appliances are built by a reinforcement learning mechanism. We compare the behavior built by the learning approach with both a merely reactive behavior...
Due to its important role in dialogue, politeness has been widely studied both from a theoretical point of view and at a practical level in virtual agents. However, few attention has been given to impoliteness, even though virtual characters, such as non player characters in video games, should be able to use it to improve their believability. In this paper, we describe a model for utterance selection...
In the last decade, emotion modeling has taken an increasing place in research in virtual agents and synthetic actors. One challenge is to be able to design believable characters that show a coherent behavior with respect to a personality. Much work has been done for virtual affective characters but, more recently, research has shown the importance of social relation and its tight relation with emotions...
One of the main challenges is to give life to believable virtual characters. Research shows that emotions and social relations, closely related, play a key role in determining the behavior of individuals. In order to improve the believ-ability of virtual characters' behavior, we propose in this article a method to compute virtual characters emotions based on attitudes and a model of their influence...
In ambient intelligence (AmI) environments, some services provided by AmI devices are often not visible to users and to other devices. The existing approaches deal with services' composition and discovery as two independent parts. In this paper, we propose an alternative approach based on logical reasoning agent system. This system is supported by a communication protocol where agents discover automatically...
One of the main challenges faced by the video game industry is to give life to believable nonplayer characters (NPCs). Research shows that emotions play a key role in determining the behavior of individuals. In order to improve the believability of NPCs' behavior, we propose in this paper a model of the dynamics of emotions taking into account the personality and the social relations of the character...
A challenge for pervasive computing is the seamless integration of computer support with users' activities in a very dynamic setting, with deep human and resource mobility. Portable devices such as notebooks, PDAs and smartphones are becoming more and more popular, as their computational power increases and their prices fall. Moreover, the quick spread of wireless networks has permitted the exchange...
This paper proposes a multi-agent system architecture based on introspective agents provided with an expressive communication language and reasoning capabilities on their skills. The agents' introspective capabilities make it possible to agents to autonomously decompose a task according to their competencies. Using a protocol, the agents can then coordinate with other agents to as to collectively...
In this paper, we tackle natural language (NL) command interpretation for artificial agents. Our architecture relies on a logical modeling of the user's command to enhance the semantic interpretation. This allows us to catch the relations between terms in the user sentence. We present our approach based on a surface syntactic analysis. We first define our surface analysis algorithm, based on the recognition...
This paper focuses on the human-machine communication within the framework of intelligent agents. We propose a generic architecture provided with a natural language (NL) algorithm for command interpretation that can be adapted to different agent's domains. Our NL architecture only depends on the agent's code and its domain ontology. We consider two classical approaches for NL command interpretation:...
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