Výsledky vyhledávání - "Carrera Barroso, Alvaro"

Behaviour Driven Development for Multi-Agent Systems

Autor: Carrera Barroso, Alvaro, Solitario, Jorge Juan, Iglesias Fernandez, Carlos Angel

Publikováno v: Proceedings of The Third International Workshop on Infrastructures and Tools for Multiagent Systems-ITMAS 2012 | The Third International Workshop on Infrastructures and Tools for Multiagent Systems-ITMAS 2012 | 05/06/2012-05/06/2012 | Valencia, Spain
Archivo Digital UPM
Universidad Politécnica de Madrid

This paper presents a testing methodology to apply Behaviour Driven Development (BDD) techniques while developing Multi-Agent Systems (MAS), so called BEhavioural Agent Simple Testing (BEAST) methodology. It is supported by the developed open source

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f5df9bacc99aaab775482db5cd5b5bc8
https://oa.upm.es/19989/

Zobrazit plný text záznamu

B2DI a bayesian BDI agent model with causal belief updating based on MSBN

Autor: Carrera Barroso, Alvaro, Iglesias Fernandez, Carlos Angel

Publikováno v: 4th International Conference on Agents and Artificial Intelligence (ICAART2012) | 4th International Conference on Agents and Artificial Intelligence (ICAART2012) | 06/02/2012-08/02/2012 | Vilamoura, Algarve, Portugal
Archivo Digital UPM
Universidad Politécnica de Madrid

In this paper, we introduce B2DI model that extends BDI model to perform Bayesian inference under uncertainty. For scalability and flexibility purposes, Multiply Sectioned Bayesian Network (MSBN) technology has been selected and adapted to BDI agent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1852b3c9d25d2bf0f7d167ed9bf2ebc8
https://oa.upm.es/22824/

Zobrazit plný text záznamu

Uso de redes Bayesianas para diagnosticar fallos inciertos de red

Autor: Carrera Barroso, Alvaro

Publikováno v: Archivo Digital UPM
instname

El objetivo de este proyecto fin de carrera es el desarrollo de un sistema de diagnóstico distribuido usando redes Bayesianas para alcanzar una lista de las causas más probables de fallo presentadas en el escenario del proyecto MAGNETO. Con ese obj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dee991b88f484e00a94f5201534539b1
https://oa.upm.es/33752/

Zobrazit plný text záznamu

Kniha

A Lightweight Approach to Distributed Network Diagnosis under Uncertainty.

Autor: García-Algarra, Javier, Arozarena, Pablo, García-Gómez, Sergio, Carrera-Barroso, Alvaro, Toribio-Sardón, Raquel

Publikováno v: Intelligent Networking, Collaborative Systems & Applications; 2011, p95-116, 22p

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání