Co-operating Agents: Concepts and Applications

Haugeneder, Hans; Steiner, Donald

doi:10.1007/978-3-662-03678-5_10

Cited by 13 publications

(6 citation statements)

References 4 publications

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“…April was initially developed as the implementation language for the much higher level MAI 2 L [17] agent programming of the EU Imagine project. It has more recently been used to implement one of the FIPA compliant agent platforms of the EU AgentCities project [37], and the agent services running on that platform at Imperial College and Fujitsu.…”

Section: Introductionmentioning

confidence: 99%

Go! – A Multi-Paradigm Programming Language for Implementing Multi-Threaded Agents

Clark

McCabe

2004

Annals of Mathematics and Artificial Intelligence

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Go! is a multi-paradigm programming language that is oriented to the needs of programming secure, production quality, agent based applications. It is multi-threaded, strongly typed and higher order (in the functional programming sense). It has relation, function and action procedure definitions. Threads execute action procedures, calling functions and querying relations as need be. Threads in different agents communicate and coordinate using asynchronous messages. Threads within the same agent can also use shared dynamic relations acting as Linda-style tuple stores.In this paper we introduce the essential features of Go!. We then illustrate them by programming a simple multi-agent application comprising hybrid reactive/deliberative agents interacting in a simulated ballroom. The dancer agents negotiate to enter into joint commitments to dance a particular dance (e.g. polka) they both desire. When the dance is announced, they dance together. The agents' reactive and deliberative components are concurrently executing threads which communicate and coordinate using belief, desire and intention memory stores. We believe such a multi-threaded agent architecture represents a powerful and natural style of agent implementation, for which Go! is well suited.

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Section: Introductionmentioning

confidence: 99%

Go! – A Multi-Paradigm Programming Language for Implementing Multi-Threaded Agents

Clark

McCabe

2004

Annals of Mathematics and Artificial Intelligence

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“…is a logic programming descendant of the multi-threaded symbolic programming language April [22] 3 , with influences from IC-Prolog II [5] and L&O [21]. April was initially developed as the implementation language for the much higher level MAI 2 L [15] agent programming of the EU Imagine project. It has more recently been used to implement one of the FIPA compliant agent platforms of the EU AgentCities project [31], and the agent services running on that platform at Imperial College and Fujitsu.…”

Section: Introductionmentioning

confidence: 99%

Go! for Multi-threaded Deliberative Agents

Clark

McCabe

2004

Declarative Agent Languages and Technologies

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Go! is a multi-paradigm programming language that is oriented to the needs of programming secure, production quality, agent based applications. It is multi-threaded, strongly typed and higher order (in the functional programming sense). It has relation, function and action procedure definitions. Threads execute action procedures, calling functions and querying relations as need be. Threads in different agents communicate and coordinate using asynchronous messages. Threads within the same agent can also use shared dynamic relations acting as memory stores. In this paper we introduce the essential features of Go! illustrating them by programming a simple multi-agent application comprising hybrid reactive/deliberative agents interacting in a simulated ballroom. The dancer agents negotiate to enter into joint commitments to dance a particular dance (e.g. polka) they both desire. When the dance is announced, they dance together. An agent's reactive and deliberative components are concurrently executing threads which communicate and coordinate using belief, desire and intention memory stores. We believe such a multithreaded agent architecture represents a powerful and natural style of agent implementation, for which Go! is well suited.

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“…La coordinación se define como la interacción entre un conjunto de agentes para llevar a cabo una determinada tarea [DLC89], [Gas92]. Por otro lado, la cooperación es una clase específica de coordinación, en la cual los agentes cooperan entre sí para detectar inconsistencias entre los resultados parciales de cada uno de ellos e integrar estos resultados con los suyos propios [HS95].…”

Section: Cooperaci óN Entre Agentesunclassified

“…Un posible escenario de cooperación entre agentes es especificado en [HS95] y resuelto a través de la ejecución del siguiente conjunto de pasos: Se proporciona a los agentes metas, o lo que es lo mismo, descripciones del estado deseado del "mundo" o entorno.…”

Section: Compartici óN De Planes Multiagenteunclassified

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Arquitectura multiagente para E/S de alto rendimiento en clusters

Hernández¹

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ResumenLa E/S constituye en la actualidad uno de los principales cuellos de botella de los sistemas distribuidos de propósito general, debido al desequilibrio existente entre el tiempo de cómputo y de E/S. Una de las soluciones propuestas para este problema ha sido el uso de la E/S paralela. En esta área, se han originado un gran número de bibliotecas de E/S paralela y sistemas de ficheros paralelos.Este tipo de sistemas adolecen de algunos defectos y carencias. Muchos de ellos están concebidos para máquinas paralelas y no se integran adecuadamente en entornos distribuidos y clusters. El uso intensivo de clusters de estaciones de trabajo durante estos últimos años hace que este tipo de sistemas no sean adecuados en el escenario de computación actual.Otros sistemas, que se adaptan a este tipo de entornos, no incluyen capacidades de reconfiguración dinámica, por lo que tienen una funcionalidad limitada.Por último, la mayoría de los sistemas de E/S que utilizan diferentes optimizaciones de E/S, no ofrecen flexibilidad a las aplicaciones para hacer uso de las mismas, intentando ocultar al usuario este tipo de técnicas. No obstante, a fin de optimizar las operaciones de E/S, es importante que las aplicaciones sean capaces de describir sus patrones de acceso, interactuando con el sistema de E/S.En otro ámbito, dentro del área de los sistemas distribuidos se encuentra el paradigma de agentes, que permite dotar a las aplicaciones de un conjunto de propiedades muy adecuadas para su adaptación a entornos complejos y dinámicos. Las características de este paradigma lo hacen a priori prometedor para abordar algunos de los problemas existentes en el campo de la E/S paralela.Esta tesis propone una solución a la problemática actual de E/S a través de tres líneas principales: (i) el uso de la teoría de agentes en sistemas de E/S de alto rendimiento, (ii) la definición de un formalismo que permita la reconfiguración dinámica de nodos de almacenamiento en un cluster y (iii) el uso de técnicas de optimización de E/S configurables y orientadas a las aplicaciones.

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Co-operating Agents: Concepts and Applications

Cited by 13 publications

References 4 publications

Go! – A Multi-Paradigm Programming Language for Implementing Multi-Threaded Agents

Go! – A Multi-Paradigm Programming Language for Implementing Multi-Threaded Agents

Go! for Multi-threaded Deliberative Agents

Arquitectura multiagente para E/S de alto rendimiento en clusters

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