Agents mòbils en situacions d'emergència: gestió dinàmica de serveis

Aquest projecte consisteix en el disseny i desenvolupament d'una arquitectura de serveis sota el paradigma dels agents inteligents. El propòsit d'ADASMI (Architecture for Dynamic Agent Service Management and Interaction) és permetre la gestió i utilització de serveis per altres agents. L'arquitectura s'ha implementat utilitzant la plataforma d'agents de JADE i es pot utilitzar amb qualsevol altra plataforma que compleixi els estàndards d'IEEE FIPA. A més, és prou flexible com per adaptar-se en entorns dinàmics, com per exemple les xarxes ad-hoc en situacions d'emergència.

Agents mòbils en situacions d'emergència: mobilitat d'etiquetes de triatge

En les actuacions de rescat en emergències amb un gran nombre de víctimes, una de les primeres tasques a realitzar pels serveis sanitaris és la de triar-les en funció del seu estat i la urgència amb que han de ser tractades. En el grup SeNDA es treballa en un sistema d’agents mòbils que automatitza el mecanisme manual de triatge, fent ús de dispositius electrònics i una xarxa MANET com a canal de comunicació. En aquest projecte es proposa un sistema de gestió de mobilitat pels agents que transporten dades de víctimes fins al centre de coordinació, juntament amb un mecanisme de control d’aquests agents totalment transparent a l’usuari.

Desenvolupament en Network Simulator 2: protocol de migració per simular agents mòbils

Avui en dia, estem assistint a una expansió de la tecnologia d’agents mòbils i noves aplicacions basades en aquesta s’estan obrint pas constantment. Les aplicacions han de demostrar la seva viabilitat sobretot en entorns heterogenis i complexos com les xarxes MANET. En aquest projecte es desenvolupa un sistema per simular el comportament dels agents mòbils, ampliant l’actual simulador de xarxa NS2, i també es comprova la viabilitat de l’implementació de l’ETTMA pel triatge de víctimes en situacions d’emergència.

Xarxes tolerants a endarreriments i interrupcions: desenvolupament d'un scheduler d'agents mòbils

En aquest projecte es proposa i s’implementa una nova forma de crear xarxes DTN (Delay-Tolerant Networks) mitjançant agents mòbils. Aquestes xarxes tenen la peculiaritat de ser tolerants a endarreriments i interrupcions, podent ser utilitzades en entorns on les xarxes actuals no es poden aplicar. Hem dissenyat mecanismes que permeten prendre decisions d’encaminament a nivell d’aplicació i mecanismes de priorització d’agents mitjançant informació d’alt nivell. Aquests mecanismes milloren les DTN fent-les més flexibles i efectives.

Agents mòbils i DTN: disseny i implementació d'un protocol d'encaminament en l'entorn PROSES

En aquest projecte s’ha treballat en l’entorn PROSES, on aeroports i avions de l’espai aeri són mules de transport sobre una xarxa DTN. L’objectiu principal és estudiar i simular dos escenaris concrets: l’enviament de notícies des de les torres de control als avions, i l’enviament de canvis de rutes de vol dels avions a un aeroport en qüestió. S’ha simulat el comportament de dos protocols d’encaminament diferents sobre els escenaris creats. Per a realitzar les proves s’ha utilitzat el simulador The ONE, s’ha implementat un nou protocol d’encaminament, s’ha creat un Generador de Mapes i Rutes, i s’han realitzat amb èxit les simulacions.

Agents mòbils en emergències: iMABETT: triatge electrònic en iPhone

En situacions d’emergència, on hi ha en perill un gran nombre de vides humanes, és especialment important l’ús de triatge per a organitzar els recursos disponibles per tal de poder classificar i atendre el màxim nombre de pacients en un temps limitat. Aquest projecte presenta l’anàlisi, disseny i implementació d’un sistema de triatge electrònic mitjançant un iPhone que guarda en un agent mòbil les dades del pacient, els seus signes vitals, un tag RFID que es col·loca al pacient per a identificar-lo i seva ubicació. Després d’haver realitzat una sèrie de proves sobre l’iMABETT s’ha demostrat que funciona correctament i compleix els objectius proposats.

A behavior-based scheme using reinforcement learning for autonomous underwater vehicles

This paper presents a hybrid behavior-based scheme using reinforcement learning for high-level control of autonomous underwater vehicles (AUVs). Two main features of the presented approach are hybrid behavior coordination and semi on-line neural-Q_learning (SONQL). Hybrid behavior coordination takes advantages of robustness and modularity in the competitive approach as well as efficient trajectories in the cooperative approach. SONQL, a new continuous approach of the Q_learning algorithm with a multilayer neural network is used to learn behavior state/action mapping online. Experimental results show the feasibility of the presented approach for AUVs

Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking

This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV

Autonomous underwater vehicle control using reinforcement learning policy search methods

Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task

Adaptive intelligent agent approach to guide the web navigation on the PLAN-G distance learning platform

Hypermedia systems based on the Web for open distance education are becoming increasinglypopular as tools for user-driven access learning information. Adaptive hypermedia is a new direction in research within the area of user-adaptive systems, to increase its functionality by making it personalized [Eklu 961. This paper sketches a general agents architecture to include navigationaladaptability and user-friendly processes which would guide and accompany the student during hislher learning on the PLAN-G hypermedia system (New Generation Telematics Platform to Support Open and Distance Learning), with the aid of computer networks and specifically WWW technology [Marz 98-1] [Marz 98-2]. The PLAN-G actual prototype is successfully used with some informatics courses (the current version has no agents yet). The propased multi-agent system, contains two different types of adaptive autonomous software agents: Personal Digital Agents {Interface), to interacl directly with the student when necessary; and Information Agents (Intermediaries), to filtrate and discover information to learn and to adapt navigation space to a specific student

Automatic self-configuration of the logical network using distributed software agents

We present a system for dynamic network resource configuration in environments with bandwidth reservation. The proposed system is completely distributed and automates the mechanisms for adapting the logical network to the offered load. The system is able to manage dynamically a logical network such as a virtual path network in ATM or a label switched path network in MPLS or GMPLS. The system design and implementation is based on a multi-agent system (MAS) which make the decisions of when and how to change a logical path. Despite the lack of a centralised global network view, results show that MAS manages the network resources effectively, reducing the connection blocking probability and, therefore, achieving better utilisation of network resources. We also include details of its architecture and implementation

An overview of the advantages and constraints of coded pattern projection techniques for autonomous navigation

The absolute necessity of obtaining 3D information of structured and unknown environments in autonomous navigation reduce considerably the set of sensors that can be used. The necessity to know, at each time, the position of the mobile robot with respect to the scene is indispensable. Furthermore, this information must be obtained in the least computing time. Stereo vision is an attractive and widely used method, but, it is rather limited to make fast 3D surface maps, due to the correspondence problem. The spatial and temporal correspondence among images can be alleviated using a method based on structured light. This relationship can be directly found codifying the projected light; then each imaged region of the projected pattern carries the needed information to solve the correspondence problem. We present the most significant techniques, used in recent years, concerning the coded structured light method

Dynamic bandwidth management as part of an integrated network management system based on distributed agents

We present a system for dynamic network resource configuration in environments with bandwidth reservation and path restoration mechanisms. Our focus is on the dynamic bandwidth management results, although the main goal of the system is the integration of the different mechanisms that manage the reserved paths (bandwidth, restoration, and spare capacity planning). The objective is to avoid conflicts between these mechanisms. The system is able to dynamically manage a logical network such as a virtual path network in ATM or a label switch path network in MPLS. This system has been designed to be modular in the sense that in can be activated or deactivated, and it can be applied only in a sub-network. The system design and implementation is based on a multi-agent system (MAS). We also included details of its architecture and implementation

Interacting software-agents to support a kind of expert supervision systems

Expert supervision systems are software applications specially designed to automate process monitoring. The goal is to reduce the dependency on human operators to assure the correct operation of a process including faulty situations. Construction of this kind of application involves an important task of design and development in order to represent and to manipulate process data and behaviour at different degrees of abstraction for interfacing with data acquisition systems connected to the process. This is an open problem that becomes more complex with the number of variables, parameters and relations to account for the complexity of the process. Multiple specialised modules tuned to solve simpler tasks that operate under a co-ordination provide a solution. A modular architecture based on concepts of software agents, taking advantage of the integration of diverse knowledge-based techniques, is proposed for this purpose. The components (software agents, communication mechanisms and perception/action mechanisms) are based on ICa (Intelligent Control architecture), software middleware supporting the build-up of applications with software agent features

Anàlisi de la imatge turística percebuda pels agents orgànics: El cas de Girona

Anàlisi empírica de la imatge turística de la ciutat de Girona que transmeten els agents orgànics mitjançant els blogs d’Internet i, a partir d’aquí, deducció de quina és la imatge percebuda pels turistes potencials