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- W1180558209 abstract "In this document, we extend the notions of classic Information Control Nets [8] to define new concepts of Stochastic Information Control Nets. We introduce a simple and useful AND-probability semantic and show how this probabilistic mathematical model can be used to generate probabilistic languages. As our introduction, we define and explain the concepts of the Information Control Nets framework. The notion of a probabilistic language is introduced as a normalizer for comparisons. We discuss model-log conformance. We describe a recursive function and an algorithm for generation of probabilistic languages from stochastic ICNs. An important aspect of our generation algorithm is that it generates probabilistic languages that are normalized, and in probability ranked order. We present new augmented definitions of completeness, correctness, and fidelity of a model. These definitions can be applied to many aspects of organizational modeling including the process, the informational, and the resource perspectives. The model that we introduce here can be used to augment and expand on analyses that have been useful and insightful within varied organizational analysis and organizational engineering applications." @default.
- W1180558209 created "2016-06-24" @default.
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- W1180558209 date "2009-01-01" @default.
- W1180558209 modified "2023-09-27" @default.
- W1180558209 title "Preliminary Investigations on Stochastic Information Control Nets ; CU-CS-1055-09" @default.
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