35 research outputs found

    Self adaptive background modeling for identifying person's falls

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    u AN AGENT-BASED SYSTEM

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    This paper describes an agent-based system implementing an original consumer-based methodology for product penetration strategy selection in real-world situations. Agents are simultaneously considered according to two different levels: a functional and a structural level. In the functional level, we have three types of agents: task agents, information agents, and interface agents assuming task fulfillment through cooperation, information gathering tasks, and mediation between users and artificial agents, respectively. In the structural level, we have elementary agents based on a generic reusable architecture and complex agents considered as an agent organization created dynamically in an hierarchical wa

    A knowledge base for brand choice model selection

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    Summarization: This article introduces a Knowledge Base, which has been created in order to overcome the problem of choosing the right model of consumer choice. With the registration and classification of as many models of consumer choice as possible, a Knowledge Base was created, which gives marketers the opportunity to choose quickly and easily the appropriate model on each occasion, in proportion with consumer characteristics.Παρουσιάστηκε στο: European Symposium on Intelligent Technique
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