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The aim of this workshop is to provide a focal forum for active
researchers, practitioners, developers involved in modeling
complex systems using the multi-agents paradigm, from
different disciplines (biology, economy, sociology, urbanism, cognitive
science, computer science, etc) . The idea behind this
meeting is to cross fertilize and foster research activities of these
different
domains. One first step to achieve with this workshop is to come up
with hot issues raised in different disciplines for which multi-agents
modelling seems to bring an interesting direction to face complexity.
This first step is aimed to enhance multi-disciplinary
cooperative research using multi-agents modelling. In particuliar, this
workshop is aimed to address the following non exhaustive list of
issues:
- answers that are provided so
far by the multi-agents
paradigm
in terms of theories, models, programming or simulation tools, to the
problems raised by complex systems in different disciplines;
- specific questions from
the complex systems
perspective,
that a specific domain (biology,
cognitive sciences, computer science, economy, etc.) would like
to ask to the
multi-agents
community? and which answers, inspirations could these disciplines
bring
to the multi-agents modelling and multi-agents based
engineering/modelling ?
- general questions raised
by complex systems
would one submit to the multi-agents research?
- multi-agents systems
engineering from the
perspective of
complex systems addresses important issues like convergence,
emergence, self-organization, autonomy versus control, scalability,
etc? How could
complex systems theories help to understand and implement these issues
in an engineering context?
- etc,
In the context of this workshop, four
thematic
areas are of
particular interests: Biology, Cognition, Socio-Economiy, Information
Technology and Computing. A technial track is associated to each
thematic area, where multi-agents systems are considered
from the perspectives of their potential to model complex systems in
each of the specified disciplines as well as from the perspective
of the inspirations they could take from theses different domains, as a
modelling/computing paradigm for complex systems.
- Track
1 : Multi-Agents approaches for Biological Systems / Biological
inspirations for Multi-Agents Systems
Chairs:
Guillaume Beslon (LIRIS,
INSA-Lyon, France),
Vincent Chevrier
(LORIA, Univ. Nancy1, France)
- Track 2
:
Multi-Agents approaches for Cognition / Cognition in
Multi-Agents Sytems
Chairs:
Catherine Garbay (
LIG - Institut IMAG, France),
Luis Rocha (Complex
Systems Group,
Indiana University, USA)
- Track
3:
Multi-Agents approaches for Socio-Economical Systems /
Socio-Economical Systems inspirations for MAS
Chairs:
Frédéric
Amblard (
SMAC, Université Toulouse III, France),
Denise Pumain
(Laboratoire Géographie-cités, Univ.Paris 1, France)
- Track 4
:
Multi-Agents Sytems from the perspective of Complex
Systems for Computation
Chairs:
Alessandro Ricci
(DEIS, Università di Bologna, Italy)
Salima Hassas
(LIESP, Université Claude Bernard, Lyon 1, France)
A list on (non exhaustive) topics follows:
- Track 1:
- MAS models of biological systems : from molecules
to cells to
animal to societies
- Multi-scale, multi model approaches : integrating
the emergent
levels
in biology
- Bio inspired MAS applications (networking,
transport,
optimization, ..)
- Methodology to study emergent properties in MAS
models
- Platforms and frameworks for biological MAS
applications and
simulations
- ...
- Track 2
- Creativity, curiosity, innovation
- Collective discovery and scientific discovery,
rational agents.
- Stigmergy, Synergy and Cognition
- Developmental aspects (origin and evolution of
human culture,
languages etc)
- Biologically-inspired agents and cognition
- Social aspects - Human organization - crisis
management
- Social software, on-line communities, socially
situated intelligence
- Emergence of cooperation and social networks,
endogenous networks,
social dilemma, social simulation
- Comparison of cognitive paradigms (agents as a test
bed for)
- Reliability anf quality assurance
- Serious games and cognitive training, human
disfunction or mental
illness
- Living a Virtual Life: Social Dynamics of Online
Gaming
- Metamimetic Games and Social Cognition
- ...
- Track 3
- Agent-based simulation of social, economic and
spatial phenomena
- Cognitive agents and social behaviour
- Statistical techniques for agent-based simulation
- Complex systems simulation in human and
social sciences
- Simulation of social networks: Structural analysis,
dynamics and evolution
- Norms, conventions, opinions and attitudes dynamics
- Comparison of simulation results with empirical data
- Methodologic and Epistemological issues for social
simulation
- Evolutionary and behavioural game theory with MAS
- Spatial Dynamics and analysis with multi-scaling
methods
- MAS simulation of urban networks, mobility, urban
dynamics, geo-marketing, geographical economics
- Multi-scale, multi model approaches and validation
- Spatial units and agents
- Financial Market and Organization Models
- Evolutionary models in human and social sciences
- Methodology to study emergence in artificial society
- Platforms and frameworks for MAS applications and
simulations
- Ontologies for MAS model in spatial, economic and
social sciences
- ...
- Track 4
- Software enginnering as Complex Adaptive System
- Engineering with emergence and self-organisation
- Methodologies for MAS modelling from the
perspective of Complex Systems
- Large service oriented (SOA) systems
- Grid based system
- Virtual enterprises
- P2P systems
- Autonomic systems
- Large IT software infrastructure
- ...
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