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Andrew Schumann

Andrew Schumann worked at the Belarusian State University, Minsk, Belarus. His research focuses on logic and philosophy of science with an emphasis on non-well-founded phenomena: self-references and circularity. He contributed mainly to research areas such as reasoning under uncertainty, probability reasoning, non-Archimedean mathematics, as well as their applications to cognitive science. He is engaged also in unconventional computing, decision theory, logical modelling of economics.

Email: andrew.schumann@gmail.com
 


 

ARTICLES:

Interview: Sources of The Analytic Philosophy in Slovenia

Issue: 1 (The first issue)
The interview of Andrew Schumann, the managing editor of Studia Humana, with Andrej Ule, Professor of Dept. of Philosophy, Faculty of Arts, University of Ljubljana, Slovenia.


Interview: Is Logic Ever Foundational?

Issue: 1 (The first issue)
The interview of Andrew Schumann, the managing editor of Studia Humana with András Máté, the head of Dept. of Logic, Faculty of Arts and Humanities, Eötvös University Budapest, Hungary.


Interview: Philosophy of Science in Hungary

Issue: 1 (The first issue)
The interview of Andrew Schumann, the managing editor of Studia Humana with Péter Szegedi, Pofessor at the Department of History and Philosophy of Science, Eötvös University, Hungary.


Interview: P-Adics: Mathematics For Sigmund Freud?

Issue: 1 (The first issue)
The interview of Andrew Schumann, the managing editor of Studia Humana, with Andrei Krennikov, professor of applied mathematics at Linnaueus University, South-East Sweden, the director of the International Center for Mathematical Modeling in Physics, Engineering, Economics, and Cognitive Science.



Interview: Is Everything a Computation?

Issue: 1 (The first issue)
The interview of Andrew Schumann, the managing editor of Studia Humana, with Andy Adamatzky, Professor in Unconventional Computing in the Department of Computer Science, University of the West of England, Bristol, amir of the Unconventional Computing Centre, and a member of Bristol Robotics Lab.



Interview: One Day Post-Soviet Countries Will Rise Up?

Issue: 2 (The second issue)
The interview of Andrew Schumann, the managing editor of Studia Humana with Andrew Wilson, a Senior Policy Fellow at the European Council on Foreign Relations.


Interview: Can an IT-Company like Apple Be Established in Belarus?

Issue: 2 (The second issue)
The interview of Andrew Schumann, the managing editor of Studia Humana with dr. Valery Tsepkalo, the Director of Hi-Tech Park Administration (Minsk, Belarus).


Interview: Libertarians in Russia: Moscow Never Sleeps?

Issue: 2 (The second issue)
The interview of Andrew Schumann, the managing editor of Studia Humana with Anatoly Levenchuk, President of TechInvestLab.ru and Victor Agroskin Vice-president of TechInvestLab.


Interview: Logical Simulations of Economic Phenomena and Computational Economics

Issue: 5 (The fifth issue)
The interview of Andrew Schumann, the managing editor of Studia Humana with Viktor Winschel, the economist at the University of Mannheim, Germany.


Issue: ()


Interview: The Light from the East

Issue: 7/8 (The seventh/eighth issue)
The interview of Andrew Schumann, the managing editor of Studia Humana, with George Kiraz, the founder of Beth Mardutho (formerly The Syriac Computing Institute) and Gorgias Press.


Interview: Is the Polish Logic One of the Best Traditions Still?

Issue: 3/4 (The third/fourth issue)
The interview of Andrew Schumann, the managing editor of Studia Humana with Roman Murawski, Professor at Faculty of Mathematics and Computer Science of Adam Mickiewicz University.


Interview: The Christian Orthodoxy in the Modern World

Issue: 6 (The sixth issue)
The interview of Andrew Schumann, the managing editor of Studia Humana, with with Basil Lourié, the editor in chief of the Scrinium. Revue de patrologie, d`hagiographie critique et d`histoire ecclésiastique published by Gorigais Press and of its two supplement series: Orientalia Judaica Christiana and Scripta ecclesiastica.


Towards New Probabilistic Assumptions in Business Intelligence

Issue: 12 (The twelfth issue)
One of the main assumptions of mathematical tools in science is represented by the idea of measurability and additivity of reality. For discovering the physical universe additive measures such as mass, force, energy, temperature, etc. are used. Economics and conventional business intelligence try to continue this empiricist tradition and in statistical and econometric tools they appeal only to the measurable aspects of reality. However, a lot of important variables of economic systems cannot be observable and additive in principle. These variables can be called symbolic values or symbolic meanings and studied within symbolic interactionism, the theory developed since George Herbert Mead and Herbert Blumer. In statistical and econometric tools of business intelligence we accept only phenomena with causal connections measured by additive measures. In the paper we show that in the social world we deal with symbolic interactions which can be studied by non-additive labels (symbolic meanings or symbolic values). For accepting the variety of such phenomena we should avoid additivity of basic labels and construct a new probabilistic method in business intelligence based on non-Archimedean probabilities.


The Swarm Computing Approach to Business Intelligence

Issue: 15 (The fifteenth issue)
We have proposed to use some features of swarm behaviours in modelling business
processes. Due to these features we deal with a propagation of business processes in all
accessible directions. This propagation is involved into our formalization instead of
communicating sequential processes. As a result, we have constructed a business process
diagram language based on the swarm behavior and an extension of that language in the
form of reflexive management language.


Logics for Physarum Chips

Issue: 17 (The seventeenth issue)
The paper considers main features of two groups of logics for biological
devices, called Physarum Chips, based on the plasmodium. Let us recall that
the plasmodium is a single cell with many diploid nuclei. It propagates
networks by growing pseudopodia to connect scattered nutrients (pieces of
food). As a result, we deal with a kind of computing. The first group of logics
for Physarum Chips formalizes the plasmodium behaviour under conditions of
nutrient-poor substrate. This group can be defined as standard storage
modification machines. The second group of logics for Physarum Chips covers
the plasmodium computing under conditions of nutrient-rich substrate. In this
case the plasmodium behaves in a massively parallel manner and propagates in
all possible directions. The logics of the second group are unconventional and
deal with non-well-founded data such as infinite streams.


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