Future technologies aiming at restoring and enhancing organs function will intimately rely on near-physiological and energy-efficient communication between living and artificial biomimetic systems. Interfacing brain-inspired devices with the real brain is at the forefront of such emerging field, with the term "neurobiohybrids" indicating all those systems where such interaction is established. ...

fuzzy linear programming models and methods has been one ofthe most and well studied topics inside the broad area of soft computing. itsapplications as well as practical realizations can be found in all the real worldareas. in this paper a basic introduction to the main models and methods infuzzy mathematical programming, with special emphasis on those developedby the authors, is presented. as ...

The interactivist-constructivist (IC) approach to cognitive systems (Bickhard, 1993; Bickhard and Campbell, 1996; Indurkhya, 1992; Christensen and Hooker, 2000) offers a sound framework for understanding cognition and representation and for designing genuinely intelligent artificial systems. Motivated either by theoretical considerations, by the problems of classical artificial intelligence and...

This special issue addresses core topics on Virtual and Mixed Reality Intelligent Environments. The conventional definitions for virtual and mixed reality systems, e.g., in [1-3], do not require that such environments should be intelligent or even reactive. However, most useful applications of virtual reality can be considered intelligent in the sense that the environment changes and reacts to ...

the aim of artificial intelligence is to discover mechanisms of adaptation in a changing environment with utilisation of intelligence, for instance in the ability to exclude unlikely solutions. artificial intelligence methods have extensive application in different fields such as medicine, games, transportation, or heavy industry. this paper deals with interdisciplinary issues – interconnection...

deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. in this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. also, because of power market and generators’ forced outages stochastic behavior, monte carlo simulation is used for reliability evaluation. generation r...

the lane change maneuver is among the most popular driving behaviors. it is also the basic element of important maneuvers like overtaking maneuver. therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (manfis) are proposed for this behavior. these models are able to simulate and predict the future behavior of a driver...

Intelligent agents is a powerful Artificial Intelligence technology which shows considerable promise as a new paradigm for mainstream software development. However, despite their promise, intelligent agents are still scarce in the market place. A key reason for this is that developing intelligent agent software requires significant training and skill: a typical developer or undergraduate strugg...

The development of intelligent tutoring systems has long been the focus of applying artificial intelligence and cognitive science in education. A new breed of intelligent learning environments called learning companion systems was developed over a decade ago. In contrast to an intelligent tutoring system, in which a computer mimics an intelligent tutor, the learning companion system assumes two...

Researchers are exploring the application of artificial intelligence techniques to information retrieval with the goal of providing intelligent access to online information. This article surveys several such systems to show what is possible in the lab today, and what may be possible in the library or office of tomorrow. Systems incorporating user modeling, natural language understanding, and ex...