This introduction to a special section on algorithmic thought provides framework through which the articles in that collection can be contextualised and their individual contributions highlighted. Over past decade, there has been growing interest artificial intelligence (AI). reflects this AI boom its implications for studying what thinking is. Focusing character of computing machines these mig...

Algorithms that follow a trend and predetermined set of rules are used in algorithmic trading to execute trades. Predictive Trade Bot systemsaim provide unusual profits for stock order, position,balance, sell, by tools. The trade can produce income at an unnaturally high speed frequency. Bydeveloping Algorithmic Trading will automatically user strategies along with its own algorithms day-to-day...

This paper extends traditional models of machine learning beyond their one-level structure by introducing previously obtained problem knowledge into the algorithm or automaton involved. Some authors studied more advanced than traditional models that utilize some kind of predetermined knowledge, having a two-level structure. However, even in this case, the model has not re0ected the source and i...

In this paper, we study Projected non-stationary Simultaneous It-erative Reconstruction Techniques (P-SIRT). Based on algorithmic op-erators, convergence result are adjusted with Opial’s Theorem. The advantages of P-SIRT are demonstrated on examples taken from to-mographic imaging.

“Computational mathematics” (algorithmic mathematics) is the part of mathematics that strives at the solution of mathematical problems by algorithms. In a superficial view, some people might believe that computational mathematics is the easy part of mathematics in which trivial mathematics is made useful by repeating trivial steps sufficiently many times on current powerful machines in order to...

Knowledge-based systems play a pivotal role in the information economies. Knowledge base inconsistencies can adversely affect a system’s correctness and performance. In this paper, we propose a framework for fusing several knowledge bases together to produce a consistent one. The framework is based on two cornerstones: detecting inconsistencies using algorithmic techniques to compute minimally ...