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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, 12 May 2005 11:31:13 +0200
Message-ID: <42832261.2000405@informatik.uni-essen.de>
To: chat@fipa.org, www-rdf-interest@w3.org, www-rdf-logic@w3.org, discussion@agentcities.org, fg-db@informatik.uni-rostock.de, agentcities@fipa.org, ontoweb-list@www1-c703.uibk.ac.at, seweb-list@www1-c703.uibk.ac.at, fgcscw@gi-ev.de, sw-ergo@gui-design.de, announce@aosd.net, ml@ics.uci.edu, agents@cs.umbc.edu, vki-list@dfki.de, computer-science@yahoogroups.com, computerbookauthors@yahoogroups.com
                                                                        
                                                                   * 
Call for Papers:*

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


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

*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

 


 

 

*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 <mailto: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

Universitšt Trier

Wirtschaftsinformatik

D 54286 Trier

Germany

Tel: +49 651 201 2859

Fax: +49 651 201 3959

E-mail: Hans.Czap@uni-trier.de <mailto: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 <mailto: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 <mailto: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 <mailto:h.tianfield@gcal.ac.uk>

http://www.gcal.ac.uk/cms/contact/staff/Hua/index.html

 

*Program Committee Chairs*

 

Professor Hans Czap

Universitšt Trier

Wirtschaftsinformatik

D 54286 Trier

Germany

Tel: +49 651 201 2859

Fax: +49 651 201 3959

E-mail: Hans.Czap@uni-trier.de <mailto: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 <mailto: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 <mailto: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*

 

Hans Czap, University of Trier, Germany

Rainer Unland, University of Essen-Duisburg, Germany

(Full list to be added)

 

*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 
<mailto:soas2005@paisley.ac.uk>_

================================================================
Prof. Dr. Hans Czap
Universitšt Trier
Wirtschaftsinformatik
54286 Trier

Tel.: +49/651/201-2859                                         
       +49/651/201-2858 (Sekr.)
       +49/651/9990113 priv.
Fax: +49/651/201-3959
URL: http://www.wi.uni-trier.de/


-- 



********************************************************************************
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, 12 May 2005 09:32:19 GMT

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