Methodology and Tools in Knowledge-Based Systems

handling RCC-8 queries on 2D regions representable in the closure algebra of half-planes.- Cardinal directions on extended objects for qualitative navigation.- Definition and study of lineal equations on order of magnitude models.- A constraint-based approach to assigning system components to tasks.- Automatic semiqualitative analysis: Application to a biometallurgical system.- Including qualitative knowledge in semiqualitative dynamical systems.- A tool to obtain a hierarchical qualitative rules from quantitative data.- Hybridization techniques in optical emission spectral analysis.- KADS qualitative model based motor speed control.- Negligibility relations between real numbers and qualitative labels.- Qualitative reasoning under uncertain knowledge.- Qualitative reasoning for admission control in ATM networks.- Using tolerance calculus for reasoning in relative order of magnitude models.- Complexity and cognitive computing.- On decision-making in strong hybrid evolutionary algorithms.- Generalized predictive control using genetic algorithms (GAGPC). An application to control of a non-linear process with model uncertainty.- Piping layout wizard: Basic concepts and its potential for pipe route planning.- Integration of constraint programming and evolution programs: Application to channel routing.- Using a genetic algorithm to select parameters for a neural network that predicts aflatoxin contamination in peanuts.- Interacting with articulated figures within the PROVIS project.- Computing the spanish medium electrical line maintenance costs by means of evolution-based learning processes.- A new dissimilarity measure to improve the GA performance.- Strplan: A distributed planner for object-centred application domains.- An intelligent hybrid system for knowledge acquisition.- Using neural nets to learn weights of rules for compositional expert systems.- Case-, knowledge-, and optimization- based hybrid approach in AI.- A contextual model of beliefs for communicating agents.- Context-mediated behavior for AI applications.- A context-sensitive, iterative approach to diagnostic problem solving.- A framework for developing intelligent tutoring systems incorporating reusability.- The classification and specification of a domain independent agent architecture.- MAVE: A multi-agent architecture for virtual environments.- Agent-based simulation of reactive, pro-active and social animal behaviour.- A fuzzy-neural multiagent system for optimisation of a roll-mill application.- High-level communication protocol in a distributed multiagent system.- Evolving the scale of genetic search.- Ensembles of neural networks for analogue problems.- An evolutionary algorithm with a genetic encoding scheme.- Generating lookup tables using evolutionary algorithms.- A genetic algorithm for linear feature extraction.- Knowledge representation in a blackboard system for sensor data interpretation.- Local information processing for decision making in decentralised sensing networks.- A fuzzy linear approach to recognising signal profiles.- Performance of a smart velocity sensor: The impulse retina.- Two methods of linear correlation search for a knowledge based supervised classification.- TURBIO: A system for extracting information from restricted-domain texts.- An approach to ellipsis detection and classification for the Arabic Language.- A review of Earley-based parser for TIG.- Generating explanations from electronic circuits.- The effect of a dynamical layer in neural network prediction of biomass in a fermentation process.- State estimation for nonlinear systems using restricted genetic optimization.- Identification of a nonlinear industrial process via fuzzy clustering.- Applying computer vision techniques to traffic monitoring tasks.- A self-diagnosing distributed monitoring system for nuclear power plants.- Overload screening of transmission systems using neural networks.- On line industrial diagnosis: An attempt to apply artificial intelligence techniques to process control.- An AI modelling approach to understanding a complex manufacturing process.- Identification and defect inspection with ultrasonic techniques in foundry pieces.- An OOM-KBES approach for fault detection and diagnosis.- Model-based fault simulation: A reduction method for the diagnosis of electrical components.- A model-based automated diagnosis algorithm.- Cyclic forecasting with recurrent neural network.- New algorithms to predict secondary structures of RNA macromolecules.- A hybrid GA statistical method for the forecasting problem : The prediction of the river Nile inflows.