Distributed reinforcement learning in multi-agent decision systems

Proceeding of: 6th Ibero-American Conference on AI (IBERAMIA '98),Lisbon, Portugal, October 5–9, 1998Decision problems can be usually solved using systems that implement different paradigms. These systems may be integrated into a single distributed system, with the expectation of obtaining a group performance more satisfactory than individual performances. Such a distributed system is what we call a Multi Agent Decision System (MADES), a special kind of Multi Agent System, that integrates several heterogeneous autonomous decision systems (agents). A MADES must produce a single solution proposal for the problem instance it faces, despite the fact that its decision making is distributed, and every agent produces solution proposals according to its local view and to its idiosyncrasy. We present a distributed reinforcement algorithm for learning how to combine the decisions the agents make in a distributed way, into a single group decision (solution proposal).Publicad

A Distributed Solution to the PTE Problem

Proceeding of: AAAI Spring Symposium on Predictive Toxicology, AAAI Press, Stanford, March 1999A wide panoply of machine learning methods is available for application to the Predictive Toxicology Evaluation (PTE) problem. The authors have built four monolithic classification systems based on Tilde, Progol, C4.5 and naive bayesian classification. These systems have been trained using the PTE dataset, and their accuracy has been tested using the unseen PTE1 data set as test set. A Multi Agent Decision System (MADES) has been built using the aforementioned monolithic systems to build classification agents. The MADES was trained and tested with the same data sets used with the monolithic systems. Results show that the accuracy of the MADES improves the accuracies obtained by the monolithic systems. We believe that in most real world domains the combination of several approaches is stronger than the individuals. Introduction The Predictive Toxicology Evaluation (PTE) Challenge (Srinivasan et al. 1997) was devised by the Oxford University Computing Laboratory to test the suitability ...Publicad

Metodología para la Implantación de la Enseñanza Universitaria en Lengua Extranjera

Los autores relatan una experiencia de implantación de la enseñanza universitaria de la informática en inglés. Esta experiencia es detallada, explicada, comentada y evaluada. A la luz del relato y del análisis de esa experiencia, los autores extraen consecuencias que les llevan a la propuesta argumentada de una metodología para la implantación de la enseñanza universitaria de la informática en inglés

Distributed Decision Making in Checkers

The game of checkers can be played by machines running either heuristic search algorithms or complex decision making programs trained using machine learning techniques. The first approach has been used with remarkable success. The latter approach yielded encouraging results in the past, but later results were not so useful, partly because of the limitations of current machine learning algorithms. The focus of this work is the study of techniques for distributed decision making and learning in Multi-Agent DEcision Systems (MADES), by means of their application to the development of a checkers playing program. In this paper, we propose a new architecture for knowledge based systems dedicated to checkers playing. Our aim is to show how the combination of several known models for checkers playing can be integrated into a MADES, that learns how to combine individual decisions, so that the MADES plays better than any of them, without "a priori" knowledge about the goodness or area of experti..

Guías de recursos didácticos

Guía de recursos encargada por el MEC a varios grupos de profesores. Está dividida en 6 unidades: 1.Lengua castellana y literatura; 2.Educación artística; 3.Matemáticas; 4.Lenguas extranjeras; 5.Conocimiento del medio; 6.Educación física. Su finalidad es acercar al profesorado materiales que le sirvan de apoyo en el proceso de cambio educativo dentro del marco de la LOGSE. Ofrece una selección de recursos de diversos tipos: artículos, libros, juegos, recursos audiovisuales e informáticvos, adaptables a las programaciones del segundo y tercer ciclo de la enseñanza primaria.MadridBiblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San Agustín 5 -3 Planta; 28014 Madrid; Tel. +34917748000; [email protected]

Comprehensive analysis and insights gained from long-term experience of the Spanish DILI Registry

Altres ajuts: Fondo Europeo de Desarrollo Regional (FEDER); Agencia Española del Medicamento; Consejería de Salud de Andalucía.Background & Aims: Prospective drug-induced liver injury (DILI) registries are important sources of information on idiosyncratic DILI. We aimed to present a comprehensive analysis of 843 patients with DILI enrolled into the Spanish DILI Registry over a 20-year time period. Methods: Cases were identified, diagnosed and followed prospectively. Clinical features, drug information and outcome data were collected. Results: A total of 843 patients, with a mean age of 54 years (48% females), were enrolled up to 2018. Hepatocellular injury was associated with younger age (adjusted odds ratio [aOR] per year 0.983; 95% CI 0.974-0.991) and lower platelet count (aOR per unit 0.996; 95% CI 0.994-0.998). Anti-infectives were the most common causative drug class (40%). Liver-related mortality was more frequent in patients with hepatocellular damage aged ≥65 years (p = 0.0083) and in patients with underlying liver disease (p = 0.0221). Independent predictors of liver-related death/transplantation included nR-based hepatocellular injury, female sex, higher onset aspartate aminotransferase (AST) and bilirubin values. nR-based hepatocellular injury was not associated with 6-month overall mortality, for which comorbidity burden played a more important role. The prognostic capacity of Hy's law varied between causative agents. Empirical therapy (corticosteroids, ursodeoxycholic acid and MARS) was prescribed to 20% of patients. Drug-induced autoimmune hepatitis patients (26 cases) were mainly females (62%) with hepatocellular damage (92%), who more frequently received immunosuppressive therapy (58%). Conclusions: AST elevation at onset is a strong predictor of poor outcome and should be routinely assessed in DILI evaluation. Mortality is higher in older patients with hepatocellular damage and patients with underlying hepatic conditions. The Spanish DILI Registry is a valuable tool in the identification of causative drugs, clinical signatures and prognostic risk factors in DILI and can aid physicians in DILI characterisation and management. Lay summary: Clinical information on drug-induced liver injury (DILI) collected from enrolled patients in the Spanish DILI Registry can guide physicians in the decision-making process. We have found that older patients with hepatocellular type liver injury and patients with additional liver conditions are at a higher risk of mortality. The type of liver injury, patient sex and analytical values of aspartate aminotransferase and total bilirubin can also help predict clinical outcomes