The article addresses the problem of how semantic information can be upgraded to knowledge. The introductory section explains the technical terminology and the relevant background. Section 2 argues that, for semantic information to be upgraded to knowledge, it is necessary and sufficient to be embedded in a network of questions and answers that correctly accounts for it. Section 3 shows that an information flow network of type A fulfils such a requirement, by warranting that the erotetic deficit, characterising the target (...) semantic information t by default, is correctly satisfied by the information flow of correct answers provided by an informational source s. Section 4 illustrates some of the major advantages of such a Network Theory of Account (NTA) and clears the ground of a few potential difficulties. Section 5 clarifies why NTA and an informational analysis of knowledge, according to which knowledge is accounted semantic information, is not subject to Gettier-type counterexamples. A concluding section briefly summarises the results obtained. (shrink)

Wir stellen ein präzises Modell der wissenschaftlichen Begriffs-theorie vor, in dem die Beschreibungs-, die Wirklichkeits- und die mengentheoretische Ebene verknüpft werden. Einerseits wird ein allgemeiner Rahmen für die Gesamtheit der Begriffe, andererseits die „lokale” Struktur eines Begriffs beschrieben. Wir spezialisieren diesen Rahmen auf wissenschaftliche Begriffe, wissenschaftliche Theorien, und auf die zugehörigen strukturalistischen, wissenschaftstheoretischen Konstruktionen. We introduce a precise model for the theory of concepts in philosophy of science. In this model we connect the level of description, the level of reality (...) and the level of set theoretic systems. On the one hand we describe a general frame for the collection of concepts, and on the other hand the „local” structure of a concept. We specialize this frame to scientific concepts, scientific theories, and to the appertaining structuralist constructions from philosophy of science. (shrink)

The paper has three objectives: to expound a set-theoretical triplet model of concepts; to introduce some triplet relations (symbolic, logical, and mathematical formalization; equivalence, intersection, disjointness) between object concepts, and to instantiate them by relations between certain physical object concepts.

Physical theories are complex and necessary tools for gaining new knowledge about their areas of application. A distinction is made between abstract and practical theories. The last are constantly being improved in the cognitive activity of professional physicists and studied by future physicists. A variant of the philosophy of physics based on a modified structural-nominative reconstruction of practical theories is proposed. Readers should decide whether this option is useful for their understanding of the philosophy of physics, as well as other (...) philosophies of particular sciences. (shrink)

“Problem-solving” as a criterion of scientific progress defended by Thomas S. Kuhn and Larry Laudan, respectively, has been criticized by several authors. Recently, Alexander Bird has suggested that problem-solving as a criterion of scientific progress is regressive and anti-intuitive. In this text I reassess Kuhn, Laudan and Bird’s positions and I show that Bird’s arguments are untenable.

There are no universally adopted answers to the natural questions about scientific concepts: What are they? What is their structure? What are their functions? How many kinds of them are there? Do they change? Ironically, most if not all scientific monographs or articles mention concepts, but the scientific studies of scientific concepts are rare in occurrence. It is well known that the necessary stage of any scientific study is constructing the model of objects in question. Many years logical modeling was (...) dominant in the concept studies. Last decades, concepts came to be regarded as the subject of mathematical modeling. However, different authors take different features of concepts as independent variables of their models. Our objective is to characterize informally the spectra of relevant variables for the modeling of scientific concepts. (shrink)