- From: Rainer Unland <unlandr@informatik.uni-essen.de>
- Date: Wed, 03 Aug 2005 09:39:31 +0200
- To: "'SOAS_ConferenceAddress'" <soas2005@paisley.ac.uk>
Deadline for submissions: August 15th 2005!
All accepted papers of Workshops 1 through 5 of the SOAS’2005 Conference
will be published by IOS Press as a book entitled "Self-Organization and
Autonomic Computing", appearing in FAIA (Frontiers in Artificial
Intelligence and Applications) series
(http://www.iospress.nl/html/faia.php).
2005 International Conference on
Self-Organization and Adaptation of Multi-agent and Grid Systems
(SOAS’2005)
At University of Paisley, Glasgow, Scotland, United Kingdom
11 - 13 December 2005
Deadline for submissions: August 15th 2005!
All accepted papers of Workshops 1 through 5 of the SOAS’2005 Conference
will be published by IOS Press as a book entitled "Self-Organization and
Autonomic Computing", appearing in FAIA (Frontiers in Artificial
Intelligence and Applications) series
(http://www.iospress.nl/html/faia.php).
Table of Contents
1. Aim and Scope
Workshop 1: Self-Organization/Adaptation, 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
2. Submission
3. Publication
4. Important Dates
5. Conference Organization
Steering Committee
Program Committee
Organizing Committee
6. Registration of Interest
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
Workshop 1: Self-Organization/Adaptation, Learning of Multi-Agent Systems
Topics of interest include, but are not limited to:
(1) Self-organization and adaptation
* Adaptive negotiation, auction, argumentation, conflict resolution
* Adjustable autonomy
* Design of agent-based self-organizing systems
* Dynamic/re-configurable coalition formation/teamwork
* Dynamic, re-configurable, flexible organization of agent societies and
ensembles
* Emergent properties and behaviours of large, open multi-agent systems
* Entropy based, computational economy based performance models of
self-organizing multi-agent systems
* Evolution, adaptation of multi-agent systems
* Fault tolerance, dependability of multi-agent systems
* Feedback control, decentralized control of large, open multi-agent systems
* Game theory, decision theory of adaptive multi-agent systems
* Holonic self-organization of multi-agent systems
* Organizational principles for large, open multi-agent systems
* Scalability, robustness of large, open multi-agent systems
* Self-configuring multi-agent problem solving
* Self-organization, self-structuring, adaptation of ontologies for
multi-agent based problem solving
* Self-organization/self-structuring, self-optimization of multi-agent
systems
* Software engineering methodologies for self-organizing/adaptive
multi-agent systems
(2) Learning and adaptation
* Agents learning about other agents, about regularities in multi-agent
co-habited environment
* Agents learning from/adapting to users
* Complexity of multi-agent systems with learning and adaptation
* Distributed learning versus individual learning in multi-agent systems
* Evolving agent behaviours or co-evolving multiple agents with
similar/opposing interests
* Learning agents for negotiation, for detection of security threats, etc.
* Learning and adaptation strategies, for environments with cooperative
agents, selfish agents, partially cooperative agents or heterogeneous agents
* Learning and communication
* Learning of coordination
* Learning of reactive agents
* Multi-agent based distributed learning
* Single-agent versus multi-agent learning
* Social/organizational learning
Workshop 2: Self-Organizing Grid Computing and Adaptive Grid Service
Management
Topics of interest include, but are not limited to:
(1) Grid computing and resource management
* Agent based Grids
* Autonomic/adaptive Grid computing
* Autonomic (self-configuring, self-healing, self-optimizing,
self-protecting) Grid/peer-to-peer middleware
* Feedback control mechanism for Grid resource management
* Dependability, fault diagnosis and tolerance of Grids
* Machine learning for resource management in Grid/peer-to-peer
computing, collaborative computing
* Market models of Grid computing, Grid economy, utility based computing
* Self-configuring workflows planning and composition in
Grid/peer-to-peer computing
* Self-diagnosis, self-detection of Grid security breaks and intrusions
* Self-healing, self-protection of Grid/peer-to-peer computing
* Self-organizing Grid based problem solving environments
* Self-organizing, self-configuring, self-optimization of Grid resource
management
* Self-organization of semantic web, metadata and ontologies in Grid
computing
(2) Grid service management
* Adaptive Grid service composition and configuration
* Adaptive management, coordination, monitoring and control of Grid
services and applications
* Adaptive framework for description, modelling, negotiation and
discovery of services
* Autonomic service oriented computing, service oriented architectures
* Feedback control mechanism for Grid service management
* Intelligent agents for Grid service management, agent based service
oriented architectures
* Machine learning for Grid service discovery and composition
* Performance evaluation, QoS, simulation of Grids
* Self-organization and adaptation of service oriented computing
Workshop 3: Autonomic and Adaptive Computing
Topics of interest include, but are not limited to:
(1) Principles and methodologies
* Artificial intelligence techniques, machine learning for autonomic and
adaptive computing
* Automated scheduling/planning in autonomic computing
* Autonomic systems mimicking natural self-managing/regulating systems,
novel paradigms of autonomic computing based on biological, economic,
social, or other analogies
* Autonomy based interactions
* Characterization of autonomic systems: self-governing, self-managing,
self-regulating, self-organizing, self-configuring, self-adaptation,
self-optimizing, self-correction, self-healing, self-protection,
self-monitoring, context self-awareness, performance
self-measuring/modelling, etc.
* Decentralized autonomic computing
* Fault diagnosis, fault detection and localization, fault tolerance for
autonomic computing systems, automatic definition and generation of
faults control policies
* Feedback based scheduling/planning for autonomic computing systems
* Frameworks, architectures of autonomic systems: agent based,
closed-loop, hierarchical, decentralized, and/or holonic architectures
* Knowledge-based systems methodology for autonomic computing
* Pattern recognition of intrusions and attacks for autonomic computing
systems, automatic definition and generation of security policies
* Performance model, QoS issues, performance management in autonomic
computing systems
* Policy based control, rule-based autonomic management of large-scale
computing systems, policy specification and management
* Scalability, robustness of self-managing computing systems
* Self-optimization, self-monitoring of task execution in pervasive
computing
* Self-optimizing architecture for QoS provisioning
* Self-organizing emergent behaviours
* System theoretic methodology for autonomic computing: complex adaptive
systems, hybrid systems, discrete event systems
* Utility function driven, computational economy based resource
allocation in autonomic systems
(2) Systems and implementations
* Automatic workloads balancing in distributed computing
* Autonomic computing in massively distributed systems
* Autonomic computing systems: multi-tier Internet, network, server,
mass storage systems, web systems, Grid/web service management,
database/knowledge systems
* Autonomic framework of software process improvement
* Autonomic workflow engine
* Health monitoring, dependency analysis, problem localization or
remediation, workload management, and provisioning for autonomic
computing systems
* Interfaces to autonomic systems, user interfaces, interfaces for
monitoring and controlling behaviour, and for policy management.
* Intrusion resilient and self-recoverable network service system
* Large-scale autonomic server monitoring
* Learning policy for pervasive computing environments
* Programming languages/tools for autonomic systems
* Query self-optimization and learning of large-scale database
management systems
* Self-adjusting trust and selection for web services
* Self-configuring hardware for distributed computer systems
* System-level technologies, middleware or services for self-managing
systems
* Toolkits, environments, models, languages, runtime and compiler
technologies for building self-managing systems or applications.
* Web services, semantic web, ontology, metadata for autonomic computing
systems
Workshop 4: Basic Principles and Methodologies of Self-Organization and
Adaptation
(1) General
* Analysis of coupled feedback loops for self-managing systems
* Architectures of self-organizing systems
* Characterization and analysis of agility, fault tolerance,
scalability, robustness
* Characterization and analysis of learning and adaptation
* Characterization frameworks of self-organizing software
* Entropy approaches to self-organization and adaptation
* Holonic systems for self-organization and adaptation
* Methodologies for engineering self-organization
* Multiple granularity of knowledge in large complex systems
* Nested, hierarchical systems for self-organization and adaptation
* Performance metrics for self-organizing systems
* Self-organization to support multi-agent scalability
(2) Emergence and interactions
* Analytic models of emergent behaviours
* Autonomy based interactions
* Cellular automata approaches, game theoretic approaches to emergence
in multi-agent systems
* Controllability of emergence
* Emergent properties of large complex systems
* Interaction mechanisms for self-organization and adaptation,
specification based interaction mechanisms, trust-based interaction
mechanisms
* Relation between high-level goals and local interactions, formal
approaches to handling local/global agent behaviours, models, methods
and tools for achieving global coherent behaviours
* Performance engineering of emergent behaviours in multi-agent systems
* Principles of emergence, understanding, controlling, or exploiting
emergent behaviours
(3) Biologically inspired
* Artificial life
* Biologically inspired computing
* Biologically inspired interaction mechanisms
* Biologically inspired process algebra and formal specifications
* Computational pheromones, potential field, economy
* Models of social insects, insect colony
* Self-organization in biological systems
* Stigmergy
(4) Control theory
* Convergence analysis of multi-agent systems, self-stabilization of
multi-agent systems
* Cybernetics, general systems theory for self-organization and adaptation
* Decentralized control, adaptive control, robust control of large
complex systems
* Feedback control of chaos, uncertainties in large complex systems
* Interactions as feedback to influence and control multi-agent systems
* Market based control of multi-agent systems
* Modelling and supervisory control of discrete event systems
(5) Complex adaptive systems
* Cellular automata model of multi-agent systems
* Complex adaptive systems theory
* Dissipative systems
* Complex non-linear systems
* Game theory, decision theory for self-organization and adaptation
* Self-organization and adaptation principles and methodologies borrowed
from systems theory, control theory, game theory, decision theory, etc.
* Open complex giant systems
Workshop 5: Prototypes, Case Studies and Applications
(1) Prototypes and case studies
All kinds of prototypes and/or case studies addressing any aspects of
self-organizing/adaptive multi-agent systems and Grid computing, and
autonomic/adaptive computing as indicated by the topics of Workshops 1
through 4, are particularly welcome.
(2) Applications
Topics on all kinds of applications and case studies of
self-organizing/adaptive multi-agent systems and Grid computing, and
autonomic/adaptive computing, are particularly welcome. Topics of
interest include, but are not limited to:
* Adaptive enterprise computing
* Agile and holonic manufacturing systems
* Disaster rescue management
* Grid enabled virtual organizations, multi-agent scalable virtual
organizations, cross-organizational cooperation
* Large-scale adaptive web/information/knowledge systems
* Robot soccer, learning and adaptation in multi-robotic collaboration
* Self-configuring and optimizing mobile ad hoc networks
* Self-formation and self-management of virtual organizations,
collaborations
* Self-organization of industrial applications
* Self-organization/adaptation in large-scale computer systems: e.g.,
networks of servers/storages, sensor networks, intelligent Internet,
programmable/active networks
* Self-organization/adaptation of e-commerce, e-business, e-healthcare,
e-science, e-leaning, etc.
* Self-organization of supply chain management, cross-organizational
workflow collaboration, production and logistics management
* Socio-economic, biological, ecological and environmental applications
* Traffic/transportation systems
Workshop 6: Works in Progress and Doctoral Research
This workshop is dedicated to the Works in Progress and Doctoral
Research. Works in Progress refers to such research investigations that
have technical novelty and contribution and are either in the course of
developing the methodologies or in the course of illustrating/verifying
the principles/ideas by prototyping or implementation. Doctoral Research
refers to such research works to which doctoral students have made great
contributions. A manuscripts submitted to this workshop will be reviewed
with the consideration of the in-progress nature or the researcher
training nature.
Works addressing any aspects of self-organizing/adaptive multi-agent
systems and Grid computing, and autonomic/adaptive computing as
indicated by the topics of Workshops 1 through 5, are particularly welcome.
The conference will provide reduced registration to enable students to
participate.
2. Submission
Manuscripts to be submitted to the conference should not be published or
be under review for publication elsewhere.
All submissions to the conference will be automatically considered as
potential submissions to the Multiagent and Grid Systems ---- An
International Journal, unless authors claim otherwise. This holding is
automatically released if authors are not contacted by the
Editors-in-Chief of the journal within three months after the conference.
Manuscripts submitted to the conference should conform to presentational
style and format of Multi-agent and Grid Systems ---- An International
Journal, IOS Press. Detail is available on the web site of the journal
http://www.iospress.nl/html/15741702.php
When submitting, authors should state clearly which workshop they wish
their manuscripts to be submitted for. Submissions should be in either a
PDF/postscript file or a Microsoft Word doc file, and should be sent via
e-mail to the respective Program Chairs. However, Program Chairs reserve
the right to accept a manuscript to a different workshop which they see
is more suitable.
Tutorial proposals and special session proposals on any aspects of
self-organizing/adaptive multi-agent systems and Grid computing, and
autonomic/adaptive computing as indicated by the topics of Workshops 1
through 5, are particularly welcome.
Manuscripts for Workshops 1, 2, and 3, should be submitted to:
Professor Rainer Unland
University of Duisburg-Essen
Institute for Computer Science and Business Information Systems (ICB)
Data Management Systems and Knowledge Representation
Schuetzenbahn 70, 45117 Essen
Germany
Tel: +49 201 183 3421
Fax: +49 201 183 4460
E-mail: unlandr@cs.uni-essen.de
http://www.cs.uni-essen.de/dawis/
Manuscripts for Workshops 4, 5 and 6, and tutorial proposals and special
session proposals on any topic of the conference, should be submitted to:
Professor Hans Czap
Universität Trier
Wirtschaftsinformatik
D 54286 Trier
Germany
Tel: +49 651 201 2859
Fax: +49 651 201 3959
E-mail: Hans.Czap@uni-trier.de
http://www.wi.uni-trier.de/
3. Publication
Manuscripts submitted to Workshops 1 through 5 will be reviewed by three
members of the Program Committee, while manuscripts submitted to
Workshop 6 will be reviewed by two members of the Program Committee.
All accepted papers of Workshops 1 through 5 of the conference will be
included in the conference proceedings available at the conference.
Papers accepted in to Workshop 6 will be included in the dedicated
proceedings of the conference available at the conference. A selection
of high quality papers accepted by the conference may be published in a
thematic book.
4. Important Dates
For Workshops 1 through 5, and tutorials/special sessions proposals:
Submissions
15 August 2005
Notification of acceptance/rejection
15 September 2005
Camera ready version
15 October 2005
For Workshop 6:
Submission
31 August 2005
Notification of acceptance/rejection
30 September 2005
Camera ready version
31 October 2005
5. Conference Organization
General Chairs
Professor Cherif Branki
School of Computing
University of Paisley
High Street, Paisley, PA1 2BE
United Kingdom
Tel: 0044 141 8483310
Fax: 0044 141 8483542
Email: bran-ci0@wpmail.paisley.ac.uk
Professor Rainer Unland
University of Duisburg-Essen
Institute for Computer Science and Business Information Systems (ICB)
Data Management Systems and Knowledge Representation
Schuetzenbahn 70, 45117 Essen
Germany
Tel: +49 201 183 3421
Fax: +49 201 183 4460
E-mail: unlandr@cs.uni-essen.de
http://www.cs.uni-essen.de/dawis/
Steering Committee Chair
Professor Huaglory Tianfield
School of Computing and Mathematical Sciences
Director, the SRIF/SHEFC Centre for Virtual Organization Technology
Enabling Research (VOTER)
Glasgow Caledonian University
70 Cowcaddens Road
Glasgow, G4 0BA
United Kingdom
Tel: +44 141 331 8025
Fax: +44 141 331 3608
E-mail: h.tianfield at gcal.ac.uk
http://www.gcal.ac.uk/cms/contact/staff/Hua/index.html
Program Committee Chairs
Professor Hans Czap
Universität Trier
Wirtschaftsinformatik
D 54286 Trier
Germany
Tel: +49 651 201 2859
Fax: +49 651 201 3959
E-mail: Hans.Czap at uni-trier.de
http://www.wi.uni-trier.de/
Professor Rainer Unland
University of Duisburg-Essen
Institute for Computer Science and Business Information Systems (ICB)
Data Management Systems and Knowledge Representation
Schuetzenbahn 70, 45117 Essen
Germany
Tel: +49 201 183 3421
Fax: +49 201 183 4460
E-mail: soas2005 at cs.uni-essen.de
http://www.cs.uni-essen.de/dawis/
Organizing Committee Chair
Professor Cherif Branki
School of Computing
University of Paisley
High Street, Paisley, PA1 2BE
United Kingdom
Tel: 0044 141 8483310
Fax: 0044 141 8483542
Email: bran-ci0 at wpmail.paisley.ac.uk
Sponsorship Chair
Brian Cross
Steering Committee
Lukasz Biegus, Cherif Branki, Thomas Connolly, Malcolm Crowe, Hans Czap,
Colin Fyfe, Chao He, Brian Lees, David Livingstone, Mike Mannion, Donald
MacDonald, Stephen Mcglinchey, Valery Tereshko, Huaglory Tianfield,
Rainer Unland
Program Committee
Hamideh Afsarmanesh, Klaus-Dieter Althoff, Cosimo Anglano, Marc Becker,
Bernhard Beckert, Ralph Bergmann, Lukasz Biegus, Ken Birman, Bob
Brennan, Sven Brueckner, Luis M. Camarinha-Matos, Mario Cannataro, Walid
Chainbi, Peter Chamoni, Giovanni Chiola, Thomas Connolly, Angelo
Corsaro, Armin Cremers, Hans Czap, Jonathan Dale, Rohan de Silva,
Philippe De Wilde, Joerg Denzinger, Giovanna Dimarzo, Prashant J. Doshi,
Alexis Drogoul, Torsten Eymann, Marco Fargetta, Geoffrey Fox, Colin
Fyfe, Ulrich Furbach, Angela Goh Eck Soong, Sven Graupner, Steven Guan
Sheng-Uei, David Hales, Chao He, Otthein Herzog, Carsten Holtmann, Tom
Holvoet, Zhi Jin, Matthias Klusch, Ryszard Kowalczyk, Helmut Krcmar,
Karl Kurbel, Winfried Lamersdorf, Fritz Laux, Brian Lees, Minglu Li,
Zushu Li, Kecheng Liu, Jiming Liu , David Livingstone, Peter Lockemann,
Donald MacDonald, Evan Magill, Quentin Mair, Stephen Mcglinchey, Joerg
Mueller, Günter Müller, Ludwig Nastansky, Andreas Oberweis, Gregory
O'Hare, Mike Papazoglou, Manish Parashar, Van Parunak, Michal Pechoucek,
Sara Tucci Piergiovanni, Agostino Poggi, Ricardo Rabelo, Ramana Reddy,
Corrado Santoro, Beat Schmid, Matthias Schumann, Richard Sinnott,
Steffen Staab, Karsten Schwan, Peter Sturm, Valery Tereshko, Georgios
Theodoropoulos, Ingo Timm, Robert Tolksdorf, Weiqin Tong, Rainer Unland,
Paul Valckenaers, Daniel Veit, Jose M. Vidal, Cho-Li Wang, Xingyu Wang,
Zidong Wang, Christof Weinhardt, Yugeng Xi, Hongji Yang, Shensheng
Zhang, Franco Zambonelli, Hong Zhu, Khaldoun Zreik
Organizing Committee
Cherif Branki, Tilmann Bitterberg, Liz Campbell, Brian Cross, Richard
Flurey, James Toland, Fiona Watson
--
********************************************************************************
Prof. Dr. Rainer Unland
University of Duisburg-Essen
Institute for Computer Science and Business Information Systems (ICB)
Practical Computer Science, especially Data
Management Systems and Knowledge Representation
Schuetzenbahn 70
45117 Essen, Germany
Tel.: (+49) 201-183 3421
Fax: (+49) 201-183 4460
email: UnlandR at informatik.uni-essen.de
WWW: http://www.cs.uni-essen.de/dawis/
********************************************************************************
Received on Wednesday, 3 August 2005 07:38:04 UTC