Combining MAS and P2P Systems: The Agent Trees Multi-Agent System (ATMAS)

The seamless retrieval of information distributed across networks has been one of the key goals of many systems. Early solutions involved the use of single static agents which would retrieve the unfiltered data and then process it. However, this was deemed costly and inefficient in terms of the bandwidth since complete files need to be downloaded when only a single value is often all that is required. As a result, mobile agents were developed to filter the data in situ before returning it to the user. However, mobile agents have their own associated problems, namely security and control. The Agent Trees Multi-Agent System (AT-MAS) has been developed to provide the remote processing and filtering capabilities but without the need for mobile code. It is implemented as a Peer to Peer (P2P) network of static intelligent cooperating agents, each of which control one or more data sources. This dissertation describes the two key technologies have directly influenced the design of ATMAS, Peer-to-Peer (P2P) systems and Multi-Agent Systems (MAS). P2P systems are conceptually simple, but limited in power, whereas MAS are significantly more complex but correspondingly more powerful. The resulting system exhibits the power of traditional MAS systems while retaining the simplicity of P2P systems. The dissertation describes the system in detail and analyses its performance

Coverbal iconic gesture in human-computer interaction

Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1993.Includes bibliographical references (leaves 60-63).by Carlton James Sparrell.M.S

Feature relative navigation for automous underwater vehicles

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1997.Includes bibliographical references (leaves 184-196).by Andrew Arnold Bennett.Ph.D

Heurísticas para el control deliberativo en una arquitectura de agentes inteligentes de tiempo real

El área de la Inteligencia Artificial está experimentado un gran avance en los últimos tiempos con su aplicación a un mayor número de campos diferentes. Uno de ellos es el de los problemas de tiempo real. Problemas donde no sólo es importante la lógica del cálculo de las soluciones, sino también el instante de tiempo en que son calculadas dichas soluciones. Este acercamiento entre ambas árear es, en principio, provechoso, pues la Inteligencia Artificial puede aportar nuevas posibilidades a los sistemas de tiempo real, como una mayor flexibilidad de adaptación a entornos complejos y dinámicos. Sin embargo esta aproximación ha presentado desde siempre importantes dificultades. Principalmente los sistemas de tiempo real poseen unos requerimientos temporales (predecibilidad de los tiempos de respuesta principalmente) que no suelen ser habituales en las técnicas de Inteligencia Artificial. Entre otras formas de abordar este problema, está el desarrollo de arquitecturas software para el diseño de agentes inteligentes para su uso en entornos de tiempo real. Estas arquitecturas poseen diferentes mecanismos para que los agentes construidos puedan trabajar en entornos de tiempo real . Estas arquitecturas poseen diferentes mecanismos para que los agentes construidos puedan trabajas en entornos de tiempo real ofreciendo comportamientos reactivos (para cumplir los requerimientos temporales) y deliberativos (que hacen uso de técnicas de Inteligencia Artificial para conseguir mejores prestaciones). Una de estas arquitecturas es ARTIS. Esta arquitectura hace uso de una planificación de sus tareas a dos niveles para conseguir complir sus objetivos. Por un lado un planificador de primer nivel garantiza la obtención de respuestas dentro de límites temporales estrictos. Un planificador de segundo nivel se encarga del control de componentes que mejoran la calidad de los resultados. El trabajo presentado se centra en este segundo planificador, desarrollando dos heurísticas, SSS.......Hérnandez López, L. (2004). Heurísticas para el control deliberativo en una arquitectura de agentes inteligentes de tiempo real [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/2671Palanci

Combining MAS and P2P systems : the Agent Trees Multi-Agent System (ATMAS)

The seamless retrieval of information distributed across networks has been one of the key goals of many systems. Early solutions involved the use of single static agents which would retrieve the unfiltered data and then process it. However, this was deemed costly and inefficient in terms of the bandwidth since complete files need to be downloaded when only a single value is often all that is required. As a result, mobile agents were developed to filter the data in situ before returning it to the user. However, mobile agents have their own associated problems, namely security and control. The Agent Trees Multi-Agent System (AT-MAS) has been developed to provide the remote processing and filtering capabilities but without the need for mobile code. It is implemented as a Peer to Peer (P2P) network of static intelligent cooperating agents, each of which control one or more data sources. This dissertation describes the two key technologies have directly influenced the design of ATMAS, Peer-to-Peer (P2P) systems and Multi-Agent Systems (MAS). P2P systems are conceptually simple, but limited in power, whereas MAS are significantly more complex but correspondingly more powerful. The resulting system exhibits the power of traditional MAS systems while retaining the simplicity of P2P systems. The dissertation describes the system in detail and analyses its performance.EThOS - Electronic Theses Online ServiceGBUnited Kingdo