Methodology and Tools in Knowledge-Based Systems: 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence

ISBN-13: 9783540645825 / Angielski / Miękka / 1998 / 892 str.

A. P. del Pobil; J. Mira; Mohammad Farhat Ali

Opis

This is Volume One of a two-volume set presenting the proceedings of an international conference on industrial and engineering applications of artificial intelligence and expert systems. Papers examine methodologies, knowledge modelling and hybrid techniques, and applications in all areas of AI.

Spis treści

Knowledge technology: Moving into the next millennium.- In search of a common structure underlying a representative set of generic tasks and methods: The hierarchical classification and therapy planning cases study.- Theory of constructible domains for robotics: Why?.- Intelligent systems must be able to make programs automatically for assuring the practicality.- Towards a knowledge-level model for concurrent design.- Multiagent AI implementation techniques: A new software engineering trend.- Information systems integration: some principles and ideas.- An emergent paradigm for expert resource management systems.- New modeling method for using large knowledge bases.- Integration of formal concept analysis in a knowledge-based assistant.- Knowledge modeling of program supervision task.- Quadri — dimensional interpretation of syllogistic inferential processes in polyvalent logic, with a view to structuring concepts and assertions for realizing the universal knowledge basis.- Complexity of precedence graphs for assembly and task planning.- A Monte Carlo algorithm for the satisfiability problem.- Applying the propose&revise strategy to the hardware-software partitioning problem.- Fuzzy hybrid techniques in modeling.- Chemical process fault diagnosis using kernel retrofitted fuzzy genetic algorithm based learner (FGAL) with a hidden Markov model.- On linguistic approximation with genetic programming.- A new solution methodology for fuzzy relation equations.- An approach to generate membership function by using Kohonen's SOFM nets.- Intelligent policing function for ATM networks.- Deriving fuzzy subsethood measures from violations of the implication between elements.- Object oriented stochastic petri net simulator: A generic kernel for heuristic planning tools.- An artificial neural network for flashover prediction. A preliminary study.- Fuzzy decision making under uncertainty.- Improving performance of naive bayes classifier by including hidden variables.- A system 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.