The integration of a fuzzy system and automaton theory can form the concept of fuzzy
automaton. This integration allows a discretely defined state-machine to act on continuous …

Complex control systems are difficult to describe with mathematical models due to the
complexity of the system. The control of these systems can be solved with a solution that …

This paper introduces novel methods which could improve the efficiency of the automated
knowledge extraction methods used in the FRIQ-learning (Fuzzy Rule Interpolationbased Q …

Behavior-based system (BBS) is a structure built upon behavior components, behavior
coordination and behavior fusion. The goal of this paper is to introduce a declarative …

Multicore systems need a new point of view of software engineering when using parallel
computing methods. In this case the processor core cache handling was examined in …

Human-Robot Interaction (HRI) evaluation is rapidly gaining more interest as the field of
social robotics advances, but determining the effectiveness of the various HRI models can …

The FIVE (Fuzzy Interpolation in Vague Environment) is a possible method for behavior
based control. Mobile robots can be also controlled by a behavior based controller. In …

A Fuzzy Rule Interpolation-based (FRI) fuzzy automaton for controlling a football match
simulation is going to be introduced in this paper. Controlling the agents (football players) of …

Nowadays embedded computers have many processor cores. Because of high computation
power and low power consumption, the multicore processor platforms are a good support for …

Vehicular ad-hoc networks (VANETs) are rapidly expanding and providing benefits such as
smarter traffic control, improved road safety, and increased passenger convenience …