Statistical analysis with missing data
Statistical analysis with missing data
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
On some properties of grounding uniform sets of modal conjunctions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Linguistic summarization of time series using a fuzzy quantifier driven aggregation
Fuzzy Sets and Systems
Agent-Based Generation of Personal Thesaurus
ACIIDS '09 Proceedings of the 2009 First Asian Conference on Intelligent Information and Database Systems
Choosing words in computer-generated weather forecasts
Artificial Intelligence - Special volume on connecting language to the world
Degrees of Belief
Aligning simple modalities in multi-agent system
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
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An aim of this research is to create methods for a provision of textual information to users of a distributed multi-agent 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 fuzzy-linguistic 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 belief-based language statements. We provide an algorithm based on a theory of grounding for an agent-based 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 (e.g. areas, districts, precise routes).