Thursday, June 30, 2005
2005 International Conference on Self-Organization and Adaptation of Multi-agent and Grid Systems
SOAS'2005
"1. Aim and Scope
A multi-agent system is such a system that is comprised of a collection of fully or semi- autonomous entities/components and whose global behaviours come from the emergent interactions among these entities/components. Such multi-agent systems have been studied widely, not only in computer science, software engineering and artificial intelligence, but even more widely in economics, management science, sociology, systems science, etc. In fact, multi-agent systems permeate social, economic, and technical domains.
Grid computing is the new generation distributed and networked information and computing systems which have the capacity to enable users and applications in an emergent manner to transcend the organizational boundaries and to gain access to the local computing resources administrated by different organizations. A Grid computing system is by nature a large, complex, and open multi-agent system. Grid computing integrates distributed computing resource management, semantic web technology, service oriented architecture and service management, distributed workflow management, monitoring and control of distributed problem solving, etc.
While self-organization and adaptation have been studied intensively in control theory, systems theory, adaptive complex systems, robotics, etc., they are relatively new concepts for computing systems. In recent years it has widely been recognized that large complex computing systems are increasingly demanding self-organization and adaptation, as advocated by the autonomic/adaptive computing initiatives in, e.g., IBM, HP, etc. The challenge here is that computing systems basically are artificial systems, which prevents conventional principles and approaches for self-organization and adaptation, which are mainly aimed at physical laws governed systems, from being applied to computing systems. To tackle the complexities of physical laws governed systems such as openness, uncertainty, discrete event randomness, etc., there have been established frameworks of principles and approaches for understanding and engineering self-organization and adaptation. However, for artificial systems such as large complex computing systems, the understanding of the openness, uncertainty, discrete event dynamics, etc. is still very limited and the framework for self-organization and adaptation has yet to be established.
To respond to the challenge above, apparently there is the urgency to have a focal forum to exchange and disseminate the state-of-the art developments from different disciplines. The SOAS’05 Conference aims to provide a timely forum to present the latest theoretical and practical results on self-organization and adaptation that have been arising in recent years in the areas of Multi-agent Systems, Grid Computing and Autonomic/Adaptive Computing. SOAS’05 Conference will also serve as an exclusive opportunity to think about the challenges and to shape the future.
SOAS’05 Conference is an integral event and is comprised of six thematic Workshops as follows.
Workshop 1: Self-Organization, Adaptation, and Learning of Multi-Agent Systems
Workshop 2: Self-Organizing Grid Computing and Adaptive Grid Service Management
Workshop 3: Autonomic and Adaptive Computing
Workshop 4: Basic Principles and Methodologies of Self-Organization and Adaptation
Workshop 5: Prototypes, Case Studies and Applications
Workshop 6: Works in Progress and Doctoral Research"
"1. Aim and Scope
A multi-agent system is such a system that is comprised of a collection of fully or semi- autonomous entities/components and whose global behaviours come from the emergent interactions among these entities/components. Such multi-agent systems have been studied widely, not only in computer science, software engineering and artificial intelligence, but even more widely in economics, management science, sociology, systems science, etc. In fact, multi-agent systems permeate social, economic, and technical domains.
Grid computing is the new generation distributed and networked information and computing systems which have the capacity to enable users and applications in an emergent manner to transcend the organizational boundaries and to gain access to the local computing resources administrated by different organizations. A Grid computing system is by nature a large, complex, and open multi-agent system. Grid computing integrates distributed computing resource management, semantic web technology, service oriented architecture and service management, distributed workflow management, monitoring and control of distributed problem solving, etc.
While self-organization and adaptation have been studied intensively in control theory, systems theory, adaptive complex systems, robotics, etc., they are relatively new concepts for computing systems. In recent years it has widely been recognized that large complex computing systems are increasingly demanding self-organization and adaptation, as advocated by the autonomic/adaptive computing initiatives in, e.g., IBM, HP, etc. The challenge here is that computing systems basically are artificial systems, which prevents conventional principles and approaches for self-organization and adaptation, which are mainly aimed at physical laws governed systems, from being applied to computing systems. To tackle the complexities of physical laws governed systems such as openness, uncertainty, discrete event randomness, etc., there have been established frameworks of principles and approaches for understanding and engineering self-organization and adaptation. However, for artificial systems such as large complex computing systems, the understanding of the openness, uncertainty, discrete event dynamics, etc. is still very limited and the framework for self-organization and adaptation has yet to be established.
To respond to the challenge above, apparently there is the urgency to have a focal forum to exchange and disseminate the state-of-the art developments from different disciplines. The SOAS’05 Conference aims to provide a timely forum to present the latest theoretical and practical results on self-organization and adaptation that have been arising in recent years in the areas of Multi-agent Systems, Grid Computing and Autonomic/Adaptive Computing. SOAS’05 Conference will also serve as an exclusive opportunity to think about the challenges and to shape the future.
SOAS’05 Conference is an integral event and is comprised of six thematic Workshops as follows.
Workshop 1: Self-Organization, Adaptation, and Learning of Multi-Agent Systems
Workshop 2: Self-Organizing Grid Computing and Adaptive Grid Service Management
Workshop 3: Autonomic and Adaptive Computing
Workshop 4: Basic Principles and Methodologies of Self-Organization and Adaptation
Workshop 5: Prototypes, Case Studies and Applications
Workshop 6: Works in Progress and Doctoral Research"
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