Anusch Daemi

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The theoretical foundations for a definition of distance on ontologies are laid out in this paper. The distance measure is defined using the well known concepts of entropy and mutual information from information theory. These formal methods are adapted for practical use in ontologies through the definition of useful discrete random variables. These include(More)
We present a method to assess the possible conflict of beliefs in ontologies. Those beliefs represent for example the assessment of an ontology in regard to some goal, i.e. hydrologists may assess a flooding ontology only with maximum flood protection in mind where a politician considers more monetary issues. These different beliefs lead to different(More)
— We propose a methodology to identify structured knowledge (ontologies) that is based upon the concept of en-tropy and its associated distance measures, i.e. the Kullback-Leibler distance or mutual information. At the heart of such a methodology is the probability distribution of states, where the states define the knowledge for a given application field.(More)
We outline a model for a society of agents based upon one of the classical theories of sociology: The Weber's model. We first investigate its links to agent technology through its relationship with the modeling of micro economy and the concept of expected utility. Then, some of the features of an agent society are enhanced by imposing security and(More)
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