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Springer, Berlin, Heidelberg

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10.1007/978-981-10-0281-6_53

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Introducing Fuzzy Labels to AgentGenerated Textua

Authors: Grzegorz Popek Ryszard Kowalczyk Radosław P Katarzyniak
Publish Date: 2012/11/28
Volume: , Issue: , Pages: 550-561
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Abstract

An aim of this research is to create methods for a provision of textual information to users of a distributed multiagent information system In particular we focus on a traffic information system where agents transform the numerical data about states of the city traffic obtained using a distributed sensor network into natural language summaries The basis for the transformation from numerical data into a linguistic domain are zadehian fuzzylinguistic models of concepts Unlike in typical Natural Language Generation approaches this paper focuses on the provision of summaries in situations where data is incomplete and on conveying this incompleteness to the user using beliefbased language statements We provide an algorithm based on a theory of grounding for an agentbased evaluation of local summaries with autoepistemic operators of possibility belief and knowledge We also propose a method for an aggregation of summaries generated by local agents in order to obtain a textual summary of complex structures of the road network eg areas districts precise routes


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