The Multi-Agents paradigm is more and more used as a tool for modeling,
simulating or programming complex systems, in different disciplines:
mechanics, economy, urbanism, sociology, biology, computer science,
etc.
The Complex Systems field of research focuses
on the study of systems that exhibit complexity as a phenomenon
inherent to the system's nature. The system is considered as
a dynamic network of interacting entities, where its global behavior
and organization are obtained through a non linear aggregation
of the local behaviors of its components. The system is thus considered
through the perspective of its dynamics and organization.
The Multi-Agents (MAS) field of research, while
being often considered as a sub-domain of AI, is influenced by
many disciplines outside AI. These disciplines include Biology,
Ethology, Sociology, Economics, Organization and Management Science,
Complex Systems, and Philosophy. Today MAS research activity covers
different fields of computer science: software engineering, AI, networks,
distributed systems, etc.
The MAS research focuses on the study of communications
languages, interaction protocols, multi-agents architectures
and methodologies, operational and theoretical models that facilitate
the development of systems designed as a set of autonomous interacting
entities (called agents), invested in the achievement of a collective
task.
Many work has been achieved in the multi-agents
domain. Multi-agents applications are developped at a large scale
in different domains, but more efforts need to be made to come
up with theoretically grounded models or assessed methodologies
for modelling and programming complex systems using the multi-agents
paradigm.
This workshop is aimed to bring together researchers
from MAS and Complex Systems domains, in order to cross-fertilize
research held in both fields, and come up with, theories, tools,
formal or/and operational models and methodologies for MAS approaches
dedicated to complex systems.
