Abstract
Modeling is necessary for any kind of objectified planning and prognosis. A main problem of setting up and utilizing a generalized (objective) decision model is its demarcation to the correlated individual decision. The properties of the objective model can be generalized as they have to be of general nature. The differences as well as the interaction between objective and (complementary) individual decisions can be investigated by subtracting the objective part from the whole decision problem. That is why the structure of objective models has to be investigated more in detail. In the last century well known scientists have stated their demands on objectified models. From these demands the fundamental structure of an objective decision model will be derived. The article does not aim at formulating general (objective) truth about reality but at providing a general tool for building objective models - without being able to avoid uncertainty with respect to real life. From this point of view objective models can have a strongly normative nature. The article concentrates on the product rather than the process of scientific discovery. Many of the statements given in this article may sound trivial or at least well known. But combined as a structure it can be seen as a general model of objective models (meta-model), which can found a theory of formal decision systems as a formal representation of both the meta-model an its instantiations is in prospect. As the instantiations can found domain ontologies, the proposed meta-model can be seen as a meta-ontology.
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Finkeissen, E. (2002). Combining Strategy and Sub-Models for the Objectified Communication of Research Programs. In: Magnani, L., Nersessian, N.J., Pizzi, C. (eds) Logical and Computational Aspects of Model-Based Reasoning. Applied Logic Series, vol 25. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0550-0_15
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DOI: https://doi.org/10.1007/978-94-010-0550-0_15
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