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  1.  8
    Is Mathematics a Humanistic Science?Sandro Skansi, Kristina Šekrst & Marko Kardum - 2023 - Filozofska Istrazivanja 43 (2):321-331.
    In this paper, through the analysis of the division of different scientific fields, we deal with the nature of mathematics as a scientific discipline. Through the historical analysis of the division of science, but also the analysis of the nature of mathematics and the ontological status of the objects that mathematics deals with, we show that the now-established divisions among scientific fields are the result of social circumstances and that mathematics itself is closer to the humanities than the natural sciences.
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  2.  6
    Film as Philosophy: The Wittgenstein Case.Marko Kardum - 2020 - Filozofska Istrazivanja 40 (4):665-684.
    This paper examines the relationship between film and philosophy, especially in the light of Wittgenstein’s philosophy and his claim that a picture represents the world better than the language itself and that, in that sense, it has philosophical relevance. It starts with an often made comparison of film illustrating philosophy, film about philosophy or philosophers, and film as philosophy. While the first two types are not particularly philosophically relevant or theoretically challenging and therefore not considered to be problematic, the third (...)
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  3.  18
    Notion of Private Language in Wittgenstein's Tractatus Logico-philosophcus and some Contemporary Linguistic Refutations.Marko Kardum & Ines Skelac - 2021 - Disputatio Philosophica 22 (1):63-75.
    In this paper, the possibility of private language argument in Tractatus Logico- Philosophicus is analyzed. The concept of ‘language that only I could understand” is connected to solipsism, or the impossibility to understand other people’s way of seeing the world. But all members of the same community are able to communicate using the same language, so this language is a general language, and there is no private language, just a private perception of the world. Contemporary linguistic theories of Chomsky and (...)
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  4.  6
    The Possibility of Applying Traditional and Modern Aesthetical Theories to Logical and Mathematical Proofs.Marko Kardum & Sandro Skansi - 2020 - Filozofska Istrazivanja 39 (4):741-760.
    In this paper, we explore the possibility of applying traditional and modern aesthetical theories to logical and mathematical proofs, with the goal of better understanding the intuitive concept of mathematical beauty. This informal concept takes a central role in the work of logicians and mathematicians and can be thought of as their main motivation. In the present paper, we try to define concepts connected to mathematical beauty or beauty in mathematical proofs, so that we may lay the foundations for a (...)
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  5.  16
    A Different Approach for Clique and Household Analysis in Synthetic Telecom Data Using Propositional Logic.Sandro Skansi, Kristina Šekrst & Marko Kardum - 2020 - In Marko Koričić (ed.), 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE Explore. pp. 1286-1289.
    In this paper we propose an non-machine learning artificial intelligence (AI) based approach for telecom data analysis, with a special focus on clique detection. Clique detection can be used to identify households, which is a major challenge in telecom data analysis and predictive analytics. Our approach does not use any form of machine learning, but another type of algorithm: satisfiability for propositional logic. This is a neglected approach in modern AI, and we aim to demonstrate that for certain tasks, it (...)
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  6.  14
    Prolegomena filozofijskog utemeljenja dubokog učenja kao teorije (umjetne) inteligencije.Sandro Skansi & Marko Kardum - 2022 - Disputatio Philosophica 23 (1):89-99.
    U radu se ispituju filozofski temelji dubokog učenja. Ukazivanjem na početke dubokog učenja i umjetnog neurona kao formalnog modela ljudskog neurona moguće je tvrditi da je umjetna inteligencija razvijena i prije njezinog službenog imenovanja te da je bila snažno povezana s propozicionalnom logikom. Imajući na umu neke velike zastoje u razvoju neuronskih mreža, pokazujemo da se dubinsko učenje može tretirati kao teorija umjetne inteligencije te da potpada pod paradigmu umjetne inteligencije jer je za nju dovoljno samo učenje jer se inteligentno (...)
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