In this paper, we are describing role of knowledge engineering in the development of a hybrid knowledge based medical information system. Knowledge engineering plays important role in development of various technologies such as: expert systems, neural network, artificial intelligence, hybrid intelligent systems, data mining, decision support systems, and knowledge based systems etc. The hybrid ...

Purpose: Summary of the state-of-the-art of the Distributed Artificial Intelligence applied to Intelligent Manufacturing. Main applications are presented along with different technologies applied in these areas. Design/methodology/approach: Intelligent Manufacturing area was split into many segments, which require different approach to intelligent problem solving. Multiagent systems negotiation...

Intelligent tutoring systems emerge from a multidisciplinary field of study that draws upon artificial intelligence, computer science, and cognitive science to create instructional technologies that offer immediate feedback and individualized instruction. Broadly construed, most intelligent tutoring systems can be characterized as having two loops: an outer loop and an inner loop. The outer loo...

Many Intelligent Tutoring Systems have been developed using different Artificial Intelligence techniques. In this paper we propose to use Reinforcement Learning for building an intelligent tutoring system to teach autistic students, who can't communicate well with others. In reinforcement learning, a policy is updated for taking appropriate action to teach the student. The main advantage of usi...

Intelligent multisensory systems in support of information society Elena Navarro, Antonio Fernández-Caballero & Rafael Martínez-Tomás a Laboratory of User Interfaces and Software Engineering University of Castilla-La Mancha, Albacete, Spain Email: b natural and artificial Interaction Systems (n&aIS) University of Castilla-La Mancha, Albacete, Spain Email: c Artificial Intelligence Department, U...

The Open Information Systems Laboratory has general interest in intelligent blind and sparse signal processing and nonlinear system theory approaches in computational neuroscience, with the emphasis on artificial neural network models with underlying components (processing units) and self-organizing behavior. Underlying this interest is a belief that biologically plausible artificial neural sys...

Human-Centric Computing is the discipline that studies the way humans and artificial systems interact reciprocally and exchange information. It is strictly related to other disciplines such as sociology, psychology, cognitive sciences, graphic design and partially overlaps with other ICT technologies such as Human-Computer Interaction, Affective Computing, Persuasive Computing, and others. A st...

In this work, the Parameters Estimation in petroleum wells is presented; it is based on Intelligent Systems (neural networks and fuzzy logic). For validating the results, the estimation is applied in wells that need artificial lift using well heading data (gas and production pressure). Key-Words: neo-fuzzy models, oil system production, artificial gas lift wells, parameters estimation.