An analysis of users' reactions to an expert advisory system

Ignorance of user factors can be seen as one of the nontechnical issues contributing to expert system failure. An expert advisory system is built for nonexpert users; the users' acceptance is a very important factor for its successful implementation. If an expert advisory system satisfactorily represents the expertise in the domain, there still remains the question: "Will the end-users use the system?" This paper aims to address users' issues by analysing their reactions towards an expert advisory system called ADGAME, developed to help its users make better decisions in playing a competitive business game. Two experiments with ADGAME have been carried out. The research results show that, when the use of the expert advisory system is optional, there is considerable reluctance to use it, particularly amongst the "worst" potential users. Users also doubt the potential benefits in terms of improved learning and confidence in decisions made. Strangely, the one positive expectation that users had, that the system would save them time, proved not to be the case in practice; ADGAME appears to improve the users' effectiveness rather than their efficiency. © 1995.

Knowledge-based system on optimum design of liquid retaining structures with genetic algorithms

This paper delineates the development of a prototype hybrid knowledge-based system for the optimum design of liquid retaining structures by coupling the blackboard architecture, an expert system shell VISUAL RULE STUDIO and genetic algorithm (GA). Through custom-built interactive graphical user interfaces under a user-friendly environment, the user is directed throughout the design process, which includes preliminary design, load specification, model generation, finite element analysis, code compliance checking, and member sizing optimization. For structural optimization, GA is applied to the minimum cost design of structural systems with discrete reinforced concrete sections. The design of a typical example of the liquid retaining structure is illustrated. The results demonstrate extraordinarily converging speed as near-optimal solutions are acquired after merely exploration of a small portion of the search space. This system can act as a consultant to assist novice designers in the design of liquid retaining structures.

Decision support system with incomplete and domain incoherent information management

Many of the most common human functions such as temporal and non-monotonic reasoning have not yet been fully mapped in developed systems, even though some theoretical breakthroughs have already been accomplished. This is mainly due to the inherent computational complexity of the theoretical approaches. In the particular area of fault diagnosis in power systems however, some systems which tried to solve the problem, have been deployed using methodologies such as production rule based expert systems, neural networks, recognition of chronicles, fuzzy expert systems, etc. SPARSE (from the Portuguese acronym, which means expert system for incident analysis and restoration support) was one of the developed systems and, in the sequence of its development, came the need to cope with incomplete and/or incorrect information as well as the traditional problems for power systems fault diagnosis based on SCADA (supervisory control and data acquisition) information retrieval, namely real-time operation, huge amounts of information, etc. This paper presents an architecture for a decision support system, which can solve the presented problems, using a symbiosis of the event calculus and the default reasoning rule based system paradigms, insuring soft real-time operation with incomplete, incorrect or domain incoherent information handling ability. A prototype implementation of this system is already at work in the control centre of the Portuguese Transmission Network.

Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres

This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.

An Intelligent Distributed System for Environmental Management

Environmental management is a complex task. The amount and heterogeneity of the data needed for an environmental decision making tool is overwhelming without adequate database systems and innovative methodologies. As far as data management, data interaction and data processing is concerned we here propose the use of a Geographical Information System (GIS) whilst for the decision making we suggest a Multi-Agent System (MAS) architecture. With the adoption of a GIS we hope to provide a complementary coexistence between heterogeneous data sets, a correct data structure, a good storage capacity and a friendly user’s interface. By choosing a distributed architecture such as a Multi-Agent System, where each agent is a semi-autonomous Expert System with the necessary skills to cooperate with the others in order to solve a given task, we hope to ensure a dynamic problem decomposition and to achieve a better performance compared with standard monolithical architectures. Finally, and in view of the partial, imprecise, and ever changing character of information available for decision making, Belief Revision capabilities are added to the system. Our aim is to present and discuss an intelligent environmental management system capable of suggesting the more appropriate land-use actions based on the existing spatial and non-spatial constraints.

Experten-System zur Koordination von Schutzsystemen

Expert System, Inference Engine, Protection Coordination, Protection Device

Llenguatges de consulta en l'àmbit de la Web Semàntica : Cas d'estudi SPARQL

Aquest projecte s'emmarca dintre la idea de la Web Semàntica. A la primera part introdueix progressivament al tema de la Web Semàntica fins arribar a establir la necessitat de tenir SGBDs. La segon part explota algun dels SGBDs estudiats per realitzar una aplicació web que permeti mostrar alguna aplicació de la Web Semàntica.

Aplicació Web de Gestió de Cursos TFC - J2EE

Aquest treball de fi de carrera es desenvolupa dins l'àrea de J2EE. Es basa en el desenvolupament d'una aplicació web destinada a gestionar els cursos que s'imparteixen en un ajuntament pels habitants del poble que ho desitjin.

Accessibilitat a llocs web per a cecs

En aquest treball es presenta una visió global del problema de la facilitat d?ús i la facilitat d?accés de les pàgines web per als cecs.

WEB Cas Pràctic boo-k : Gestió d'una Botiga Virtual

L'objectiu d'aquest treball és especificar, dissenyar i implementar una aplicació web que permeti l'operativa real dels serveis de gestió d'una botiga virtual d'Internet, amb el suport d'un sistema de gestió de bases de dades.

Filtre de pàgines web

Aquest projecte final de carrera té la finalitat d'elaborar un filtre de continguts Web de paraula clau. S'ha tractat exclusivament de crear una aplicació que funcioni sobre el protocol http controlant les dades que circulen a través del port 80.

Análisis, diseño e implementación de una aplicación Web para el seguimiento del proceso académico haciendo uso de la arquitectura .NET

En este trabajo final de carrera se ha desarrollado una aplicación Web para el seguimiento vía Internet del proceso académico de los alumnos, tanto por ellos mismos como por parte de sus padres. La aplicación se ha implementado usando la arquitectura .NET de Microsoft para el desarrollo y la tecnología ADO para el acceso a datos.

RDF i Web Semàntica

En aquest treball s'explica el concepte de Web Semàntica, junt amb la seva estructura i els diferents termes relacionats amb aquesta idea. A més, es fa especial atenció al paper dels sistemes gestors de bases de dades en aquest camp, tenint en compte sobretot el nivell de compatibilitat que ofereixen aquests per a tracta dades en notació RDF, basada en el llenguatge XML.

Usabilitat d'un web d'un centre de secundària

L'objectiu del TFC és que quedi definit un mètode per a aconseguir el desenvolupament d'un web (per a un centre de secundària) fàcil d'usar, de tal manera que seguint aquest mètode es puguin portar a terme les fases que es considerin necessàries per a arribar al disseny d'algunes de les interfícies del web i que aquestes interfícies siguin fàcils d'usar.

Aplicació de la Web Semàntica : Anotació semàntica de pàgines Web

Aquest treball, basant-se en una aplicació concreta d'aquest concepte de web semàntic anomenada anotació semàntica de pàgines web, presenta els conceptes i els elements propis, com ara les ontologies i els llenguatges semàntics, i també un cas pràctic de disseny i desenvolupament d'una ontologia i una anotació semàntica de les pàgines d'un web a partir de l'ontologia creada.