5 research outputs found

    Svjesnost konteksta u mreži pokretnih programskih agenata

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    The paper deals with context awareness in information, communication and computing systems and context introduction in mobile software agent network. Mobile agent network is a formal system that includes a multi-agent system residing in a network of interconnected nodes, which hosts agents, allowing their operation, communication and migration. Software agents can help in managing complex relationships between information and communication service users and service providers. The role of intelligent and mobile agents representing service users and service providers in the network and supporting context awareness is considered. Context is defined as any information that can be used to characterize the situation of an entity respecting its physical, social, communication and computing environment. A unified treatment of context information contained in the user profile, presence service and those relevant for general context-aware systems is proposed in order to preserve the functionality and performance evaluation capabilities of the mobile agent network. The approach elaborated in the paper is based on conceptual context representation, system services and agent operations required for supporting context-awareness in the mobile agent network. Case study on agent-based ad-hoc social network service is included.Rad se bavi svjesnošću konteksta u informacijskim, komunikacijskim i računalnim sustavima i uvođenjem konteksta u mrežu pokretnih programskih agenata. Mreža pokretnih agenata je formalni sustav koji uključuje višeagentski sustav koji djeluje u mreži međusobno povezanih čvorova koji udomljuju agente, omogućujući im provedbu operacija, komunikaciju i migraciju. Programski agenti mogu pridonijeti upravljanju složenih odnosa između korisnika i davatelja informacijskih i komunikacijskih usluga. Razmatra se uloga inteligentnih i pokretnih agenata koji predstavljaju korisnike i davatelje usluga u mreži te im omogućuju kontekstno svjesnu potporu. Kontekst se definira kao svaka informacija kojom se može obilježiti situacija nekog entiteta uvažavajući njegovo fizičko, društveno, komunikacijsko i računalno okružje. Predlaže se objedinjeno tretiranje kontekstne informacije sadržane u korisničkom profilu, usluzi nazočnosti, kao i one mjerodavne za opće kontekstnosvjesne sustave, kako bi se očuvala mogućnost evaluacije funkcionalnosti i performansi mreže pokretnih agenata. Pristup obrađen u radu zasniva se na koncepcijskom predočavanju konteksta te uslugama sustava i agentskim operacijama potrebnima za potporu konteksta u mreži pokretnih agenata. Uključen je studijski primjer agentski zasnovanog ad-hoc društvenog umrežavanja

    Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform

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    Ambient intelligence has advanced significantly during the last few years. The incorporation of image processing and artificial intelligence techniques have opened the possibility for such aspects as pattern recognition, thus allowing for a better adaptation of these systems. This study presents a new model of an embedded agent especially designed to be implemented in sensing devices with resource constraints. This new model of an agent is integrated within the PANGEA (Platform for the Automatic Construction of Organiztions of Intelligent Agents) platform, an organizational-based platform, defining a new sensor role in the system and aimed at providing contextual information and interacting with the environment. A case study was developed over the PANGEA platform and designed using different agents and sensors responsible for providing user support at home in the event of incidents or emergencies. The system presented in the case study incorporates agents in Arduino hardware devices with recognition modules and illuminated bands; it also incorporates IP cameras programmed for automatic tracking, which can connect remotely in the event of emergencies. The user wears a bracelet, which contains a simple vibration sensor that can receive notifications about the emergency situation

    A Context-Aware Multi-Agent System for Building Intelligent Services by the Classification of Rule and Ontology in a Smart Home

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    New platform for intelligent context-based distributed information fusion

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    Tesis por compendio de publicaciones[ES]Durante las últimas décadas, las redes de sensores se han vuelto cada vez más importantes y hoy en día están presentes en prácticamente todos los sectores de nuestra sociedad. Su gran capacidad para adquirir datos y actuar sobre el entorno, puede facilitar la construcción de sistemas sensibles al contexto, que permitan un análisis detallado y flexible de los procesos que ocurren y los servicios que se pueden proporcionar a los usuarios. Esta tesis doctoral se presenta en el formato de “Compendio de Artículos”, de tal forma que las principales características de la arquitectura multi-agente distribuida propuesta para facilitar la interconexión de redes de sensores se presentan en tres artículos bien diferenciados. Se ha planteado una arquitectura modular y ligera para dispositivos limitados computacionalmente, diseñando un mecanismo de comunicación flexible que permite la interacción entre diferentes agentes embebidos, desplegados en dispositivos de tamaño reducido. Se propone un nuevo modelo de agente embebido, como mecanismo de extensión para la plataforma PANGEA. Además, se diseña un nuevo modelo de organización virtual de agentes especializada en la fusión de información. De esta forma, los agentes inteligentes tienen en cuenta las características de las organizaciones existentes en el entorno a la hora de proporcionar servicios. El modelo de fusión de información presenta una arquitectura claramente diferenciada en 4 niveles, siendo capaz de obtener la información proporcionada por las redes de sensores (capas inferiores) para ser integrada con organizaciones virtuales de agentes (capas superiores). El filtrado de señales, minería de datos, sistemas de razonamiento basados en casos y otras técnicas de Inteligencia Artificial han sido aplicadas para la consecución exitosa de esta investigación. Una de las principales innovaciones que pretendo con mi estudio, es investigar acerca de nuevos mecanismos que permitan la adición dinámica de redes de sensores combinando diferentes tecnologías con el propósito final de exponer un conjunto de servicios de usuario de forma distribuida. En este sentido, se propondrá una arquitectura multiagente basada en organizaciones virtuales que gestione de forma autónoma la infraestructura subyacente constituida por el hardware y los diferentes sensores
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