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CfP: 2005 Int. Conf. on Self-Organization and Adaptation of Multi-agent and Grid Systems (SOAS'2005); 11 - 13 Dec. 2005 Glasgow

From: Rainer Unland <unlandr@informatik.uni-essen.de>
Date: Thu, 30 Jun 2005 13:08:35 +0200
Message-ID: <42C3D2B3.8020800@informatik.uni-essen.de>
To: undisclosed-recipients:;

                                     Call for Papers: 
 

                            2005 International Conference on
          Self-Organization and Adaptation of Multi-agent and Grid 

                                   Systems (SOAS'2005)
                             http://soas2005.paisley.ac.uk/ 


        At University of Paisley, Glasgow, Scotland, United Kingdom
                                  11 - 13 December 2005


Submissions: 15 August 2005
Notification of acceptance/rejection: 15 September 2005
Camera ready version: 15 October 2005

Academic Sponsors:
Glasgow Caledonian University, UK
University of Essen-Duisburg, Germany
University of Paisley, UK
University of Trier, Germany

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@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@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: unlandr@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@wpmail.paisley.ac.uk

Sponsorship Chair
Brian Cross, University of Paisley, UK

Steering Committee
Cherif Branki, University of Paisley, UK
Malcolm Crowe, University of Paisley, UK
Hans Czap, University of Trier, Germany
Mike Mannion, Glasgow Caledonian University, UK
Huaglory Tianfield, Glasgow Caledonian University, UK
Rainer Unland, University of Essen-Duisburg, Germany

Program Committee
Afsarmanesh	Hamideh
Althoff		Klaus-Dieter
Anglano		Cosimo
Becker		Marc
Beckert		Bernhard
Bergmann	Ralph
Biegus		Lukasz
Birman		Ken
Brennan		Bob
Brueckner	Sven
Camarinha-Matos	Luis M.
Cannataro	Mario
Chainbi		Walid
Chamoni		Peter
Chiola		Giovanni
Connolly	Thomas
Corsaro		Angelo
Cremers		Armin
Czap		Hans
Dale		Jonathan
de Silva	Rohan
De Wilde	Philippe
Denzinger	Joerg
Dimarzo		Giovanna
Doshi		Prashant J.
Drogoul		Alexis
Eymann		Torsten
Fargetta	Marco
Fox		Geoffrey
Furbach		Ulrich
Fyfe		Colin
Goh Eck Soong	Angela
Graupner	Sven
Guan Sheng-Uei	Steven
Hales		David
He		Chao
Herzog		Otthein
Holtmann	Carsten
Holvoet		Tom
Jin		Zhi
Klusch		Matthias
Kowalczyk	Ryszard
Krcmar		Helmut
Kurbel		Karl
Lamersdorf	Winfried
Laux		Fritz
Lees		Brian
Li		Minglu
Li		Zushu
Liu		Kecheng
Liu 		Jiming
Livingstone	Daniel
Lockemann	Peter
MacDonald	Donald
Magill		Evan
Mair		Quentin
Mcglinchey	Stephen
Mueller		Joerg
Müller		Günter
Nastansky	Ludwig
Oberweis	Andreas
O'Hare		Gregory
Papazoglou	Mike
Parashar	Manish
Parunak		Van Dyke
Pechoucek	Michal
Piergiovanni	Sara Tucci
Poggi		Agostino
Rabelo		Ricardo
Reddy		Ramana
Santoro		Corrado
Schmid		Beat
Schumann	Matthias
Schwan		Karsten
Sinnott		Richard
Staab		Steffen
Sturm		Peter
Tereshko	Valery
Theodoropoulos	Georgios
Timm		Ingo
Tolksdorf	Robert
Tong		Weiqin
Unland		Rainer
Valckenaers	Paul
Veit		Daniel
Vidal		Jose M.
Wang		Cho-Li
Wang		Xingyu
Wang		Zidong
Weinhardt	Christof
Xi		Yugeng
Yang		Hongji
Zambonelli	Franco
Zhang		Shensheng
Zhu		Hong
Zreik		Khaldoun


Organizing Committee
Cherif Branki, University of Paisley, UK
Tilmann Bitterberg, University of Paisley, UK
Liz Campbell University of Paisley, UK
Brian Cross, University of Paisley, UK
Richard Flurey, University of Paisley, UK
James Toland, University of Paisley, UK
Fiona Watson, University of Paisley, UK

For further information: http://soas2005.paisley.ac.uk/
E-Mail Address Conference: soas2005@paisley.ac.uk



-- 



********************************************************************************
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@informatik.uni-essen.de
WWW: http://www.cs.uni-essen.de/dawis/
********************************************************************************
Received on Thursday, 30 June 2005 11:08:40 GMT

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