In the book (Házy-Veres et al., 2020), we presented a model that applies artificial intelligence and neuro-fuzzy systems to settlement development. The is based on creation of two knowledge bases, databases: one database good practices second settlements. Based this result created web-based application measure social innovation potential settlements support implementing practices.

The application of pattern recognition (PR) techniques, artificial neural networks (ANNs), and nowadays hybrid artificial intelligence (AI) techniques in manufacturing can be regarded as consecutive elements of a process started two decades ago. The fundamental aim of the paper is to outline the importance of soft computing and hybrid AI techniques in manufacturing by introducing a genetic algo...

The LuxTurrim5G project is built on integrating different types of sensors and equipment that have been integrated into light poles in order to build new data-driven services. One additional service could be harvest the waste heat produced electrical devices pole. In this research, we developed an intelligent model for transfer modeling 5G Smart Poles. input parameters used construct are latitu...

Artificial Intelligence (AI) started out with an ambition to reproduce the human mind, but, as the sheer scale of that ambition became apparent, quickly retreated into either studying specialized intelligent behaviours, or proposing overarching architectural concepts for interfacing specialized intelligent behaviour components, conceived of as agents in a kind of organization. This agent-based ...

We present an approach to agent modeling of socio-technical organizations based on the principles of semiotics. After reviewing complex systems theory and traditional Artificial Life (ALife) and Artificial Intelligence (AI) approaches to agent-based modeling, we introduce the fundamental principles of semiotic agents as decision-making entities embedded in artificial environments and exchanging...

As a system scientist doing modeling and simulation, I have been interested for some time in ways that modeling and simulation and AI could be of value to each other. After all, both areas have their roots in putting knowledge into useful representations. I have speculated (AI Magazine, summer 1989, pp. 4348) that the scientist of the future, in applying computing to his(her) work, could benefi...

(such as fuzzy integrals, probabilistic models) and on some particular kinds of model parameters (such as fuzzy measures) were presented and discussed. The papers on tools described methods for model construction (selection of the operators and of their parameters using, for example, analytic hierarchy process [AHP] techniques) as well as measures and indices for evaluating operators (such as o...

This paper presents an artificial intelligence based software tool, entitled the NeuroWizard, which is intended for the engineering design optimization context. The NeuroWizard software tool leverages artificial neural network algorithms as function approximators for empirical modeling of nonlinear dynamic systems or processes, for which closed-form mathematical models either do not exist or ar...