Interdisciplinary AI Research Methodology

Kolcsár, Levente and Bakó, László (2025) Interdisciplinary AI Research Methodology. MŰSZAKI TUDOMÁNYOS KÖZLEMÉNYEK (EN), 22. pp. 59-64. ISSN 2601-5773

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Abstract

The use of artificial intelligence (AI) in our time is becoming more and more extensive, so it is no question that there is a need for new AI concepts. We have developed our research methodology to accommodate new cognitive science theories, which we present through a concrete example: how Integrated Information Theory (IIT) was born and what it is good for. IIT is one of the main theories of consciousness in cognitive neuroscience and phenomenology. The main pillar of our methodology is the philosophy of science, which puts IIT into context, examines its origin and usability. This serves the purpose of a framework to be able to interpret ideas from the most diverse fields and to rank them according to their engineering applicability, so that we can create new, useful AI toolkits from them.

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