This paper deals with genetic algorithm based methods for finding optimal structure for a neural network (weights and biases) and for a fuzzy controller (rule set) to control a group of mobile autonomous robots. We have implemented a predator and prey pursuing environment as a test bed for our evolving agents. Using theirs sensorial information and an evolutionary based behaviour decision contr...

This article examines what the rise in machine learning (ML) systems might mean for social theory. Focusing on financial markets, which algorithmic securities trading founded ML-based decision-making is gaining traction, I discuss extent to established sociological notions remain relevant or demand a reconsideration when applied an ML context. argue that have some capacity agency and engaging f...

In fact the Kesten–Stigum theorem [2] only states that the number of nodes will converge to some random variable, the distribution of which depends on the choice of offspring distribution. This random variable has a mean of z , where z is the mean offspring per node and h is the number of generations. Therefore, equation (3.2) in the original manuscript, and the results derived from it, hold in...

A new approach to modelling multiagent interactions using the CyberCromlech framework is proposed in the paper. The main distinction of the approach is the capability to flexibly assess and control the dynamic structure of cause-effect connections emerging from a common history of multiagent interactions. Based on this capability, we have designed several game experiments to study various aspec...