Philosophy and Directive

Toward my working philosophy, there are a few to discuss. Though, they are indeed detrimental on which direction should I take to approach of certain problem, and how to resolve them effectively.

My field of study varies wildly, though without patterns of which it partakes. It does not feel like that I am interested in too much to be called of a polymath, but rather a structural approach of interest that serve a common goal of which, usually called abstraction. This means, for example, the theory of mathematical modelling, theoretical computer science with the focus on the computer itself, so automata theory in its generality, and so on. The list is large, of which includes those I listed in the front page, but they have the same pattern of something akin to theoretical and general analysis of such. Nevertheless, this page is here to provide further insights in which is the philosophy of working that I can provide. Hence, we can indeed, or rather should, concentrate on such substance indeed.

Note: The main directive is provided in the directive page. This is perhaps the most important note, though it is not up-to-date and will probably never be, but is added incrementally.

Mathematics

I have interests in mathematics, though it would be a far cry from what is considered of the general ordeal in which you and I actively seek toward of a formal mathematical learning, even though I indeed want to participate on such track. But in general, I want to investigate the foundation of mathematics, and in general sense, the philosophy of mathematics, abstract mathematics, and so on. Most of them are indeed fairly theoretical, but it is the charm of the general affair. My research, if one can consider such as will, would be on the principle of abstraction, the formation of formal systems and mathematical system, modelling theory under mathematical language, and the interpretation of various mechanism into models. My belief and perception indicts on me, that mathematics itself, is a reflection of which we incur certain type of model to the logical world, or the physical world, via the lens of also language, representation, quantification (numbers), and so on. Hence, it is fairly interesting of an approach.

Other than that, I am also interested, and thus, actively participating in various sense, projects regarding statistical analysis, concentration inequalities, analysis, and so on, with the intention to interpret them differently of applications thereof, and to utilize the richness of the language in the sense that does not restrict one’s thinking into the mode of ‘mathification’ of a field.

Artificial Intelligence

My interest in artificial intelligence varies a lot. Most of the time, it lies in some of the weirdest places, or rather of the path in which none took before, and the present is hesitated of. Nevertheless, such inquiry proves useful for the rest of mind, and henceforth of the formalism that I pursue. Such is to say, I do work on the theory of artificial intelligence.

Many would argue against such study as ignorant or incumbently useless. Some might say practical is the way since their failure, both responsible for, such actor as either them and the philosophical crowd, about the feasibility of artificial intelligence construct on the basis of the computationalism argument. But while admitting practical expansion is useful and detrimental to the tremendous success of practical and heuristic approach, one cannot disregard theory as it is the foundation of which the established framework gives strength to the science of artificial intelligence itself. Further than that, theoretical understanding will inevitably give us a different view, of different conceptual framework, insight, outlook, connections, understanding, and so forth of which elucidate the field as it is, without relies on the room full of nails at every corner of heuristic approaches. Sooner or later, such runner will meet the wall of which they cannot pass of such, and thus sometimes requires more theory to procure even more heuristic on their own.

So, what is my approach and philosophy of research? I suspect it mostly confounds itself in the partition of the theory of modelling, plus the theoretical treatment, inquiry, and philosophical debate of such, on the artificial intelligence framework and what constitute such, and so on. On the other side, is the learning theory in which we deliberately find useful, but the essence of the theory itself. That is why a lot of my researches are about fundamental problems, such as double descent, of which illuminates much of our skewed and lacking of understanding, and thus development toward such angle.