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Innovative Concepts for Autonomic and Agent-Based Systems: Second International Workshop on Radical Agent Concepts, WRAC 2005, Greenbelt, MD, USA, September 20-22, 2005, Revised Papers

Michael G. Hinchey ; Patricia Rago ; James L. Rash ; Christopher A. Rouff ; Roy Sterritt ; Walt Truszkowski (eds.)

En conferencia: 2º Workshop on Radical Agent Concepts (WRAC) . Greenbelt, MD, USA . September 20, 2005 - September 22, 2005

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Artificial Intelligence (incl. Robotics); Computer Communication Networks; Software Engineering; User Interfaces and Human Computer Interaction; Computer Appl. in Social and Behavioral Sciences

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2006 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-69265-2

ISBN electrónico

978-3-540-69266-9

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2006

Tabla de contenidos

Agent Modeling of Tetrahedron-Based Structures

Charles Sebens; Walt Truszkowski

Goddard Space Flight Center (GSFC) is working on developing new kinds of robotic structures capable of: goal-oriented motion, changing its form to optimize its function, adapting to new environmental demands, and/or repairing itself. A series of increasingly complex roving shapes leading up to the tetrahedron were considered. This paper addresses this innovative use of multi agent system technology that is being used to achieve the desired autonomous behaviors.

Pp. 346-353

Congestion Control in Multi-Agent Systems Through Dynamic Games of Deterrence

Michel Rudnianski; Hélène Bestougeff

Congestion control in MAS is addressed through a network of agents communicating with each other, for issuing and responding to assistance requests. The network state is analyzed as a particular qualitative game, called Game of Deterrence. A congestion avoidance algorithm is proposed, on the basis of the game solutions. The relation between the type of game reflecting the structure of the agent network, and the occurrence of congestion is then analyzed, highlighting the impact of the network size, and leading to the alternative of either implementing the algorithm, or breaking down the global network in regional networks inside which the congestion occurrence probability is low. The method is then extended to the dynamic case through an example showing existence of cycles.

Pp. 354-369

Radical Concepts for Self-managing Ubiquitous and Pervasive Computing Environments

Roy Sterritt; Mike Hinchey

Autonomous and Autonomic Systems (AAS) are essentially concerned with creating self-directed and self-managing systems based on biologically-inspired metaphors such as the mammalian autonomic nervous system. Future Ubiquitous and Pervasive computing environments will depend on such a self-managing infrastructure. Agent technologies have been identified as a key enabler for engineering autonomy and autonomicity in systems, both in terms of retrofitting self-management into legacy systems and designing and developing totally new systems. Handing over responsibility to the systems themselves raises many concerns for humans. This paper reports on the continued investigation into a strand of research on how to engineer self-protection mechanisms into systems to assist in providing confidence regarding the appropriateness of systems utilizing principles of autonomy and autonomicity. This includes utilizing the apoptosis metaphor to potentially provide a self-destruct signal between autonomic agents as and when needed, and an ALice signal to facilitate self-identification and self-certification between anonymous autonomous agents and systems.

Pp. 370-378

Survivable Security Systems Through Autonomicity

Roy Sterritt; Grainne Garrity; Edward Hanna; Patricia O’Hagan

Technological developments such as biometrics are providing new potential for next generation security systems. At the same time these developments can make the system more complex to manage. Some classes of systems have a fundamental requirement to survive be that to ensure an organization does not loose tens of millions of dollars due to downtime or to ensure there is not a security breach. Autonomic self-managing systems are motivated to hide the ever increasing complexity in today’s systems but through their selfware approach they also offer the potential to create survivable systems. This paper details one such approach, to create a survivable security system for correction centers.

Pp. 379-389