Discussions about the possibilities and limitations of the various approaches to the development of intelligent systems are too often based on vague concepts and assumptions. Intelligence is usually considered only in terms of behaviour; we point out that no behaviour can be considered "really intelligent" independently of its motivations. In this context, we introduce the concepts of authentic...

A small set of molecular building blocks will allow the implementation of “universally programmable intelligent matter,” that is, matter whose structure, properties, and behavior can be programmed, quite literally, at the molecular level. The approach is based on combinatory logic, a term-rewriting or graphsubstitution system, which can be interpreted as an abstract model of molecular processes...

This paper presents a hybrid control scheme for the aircraft automatic landing system. PID control law is adopted in the controller design. Disturbance adaptive capability is demonstrated through hardware in the loop simulations. The control scheme uses PID controller with evolutionary computation technique. Control gains are selected by real-valued genetic algorithms. Different crossover metho...

This paper investigates the challenge of integrating intelligent systems into varying computational platforms and application mixes while providing reactive (or soft real-time) response. We integrate Bayesian network computation with feedback control, thereby achieving our reactive objective. As a case study we investigate fault diagnosis using Bayesian networks. While we consider the likelihoo...

This paper presents a technique for an intelligent software robot (sobot) Rity to behave in uncertain environment in an appropriate manner. The intelligence of a robot is necessary to infer an appropriate behavior when various sensor data (stimuli) exist simultaneously and a specific behavior can be decided by a behavior controller. There could be various methods to build a behavior controller....

Interactive intelligent systems often suffer from a basic conflict between their computationally intensive nature and the need for responsiveness to a user This paper introduces the Interviewer/Reasoner model, which helps to reduce this conflict This model partitions an intelligent system into two asynchronous components The Interviewer’s primary function is to gather data while providing an ac...

The computational intelligent technique is frequently used by different authors to design the control part of active vibration control system to minimize the vibration of different structures. The purpose of this review paper is to collect different research papers on vibration control method using modern computation intelligent techniques such as Fuzzy logic technique and neural network techni...

This paper deals with the implementation of new proposed strategy for the reduction in the transient time of shunt active filter using intelligent controllers. Intelligent control is a class of control techniques that use various AI computing approaches like fuzzy logic, neural network, evolutionary computation, genetic algorithm etc. The proposed strategy works on the principle of energy of th...

By integrating artificial bee colony and genetic algorithm, a novel hybrid swarm intelligent approach is proposed in this paper. The main idea of the approach is to obtain the parallel computation merit of GA and the speed and self-improvement merits of ABC by sharing information between GA population and bee colony. To exam the proposed method, it is applied to 4 benchmark functions for differ...

This paper presents a novel wavelength assignment algorithm for alloptical networks. The main idea is to determine the wavelength assignment order for a first fit algorithm taking into account the physical layer effects of four wave mixing and residual dispersion by using a training algorithm inspired in evolutionary computation concepts. The intelligent algorithm presents some concepts recentl...