Complex Systems 2017

23/05/2017
25/05/2017
Organizador: 
Wessex Institute
Lugar: 
New Forest, UK

 

The Conference aims to bring together researchers, developers and users of complex systems from a variety of disciplines interested in developing the new approaches for resolving complex issues that cannot be resolved using conventional mathematical or software models. It also welcomes specialists in modelling complex issues using multi-agent technology and similar distributed approaches, which have achieved credible application results.
By now the conference is well established and is distinguished by its friendly and informal atmosphere in which it is easy for participants to help each other to further advance their appreciation of the subject of managing complexity.
Among the participants one will find renown complexity thinkers, well established practitioners and novices in the area of complexity happily discussing issues of common interest
And, of course, the New Forest is beautiful, and provides the right opportunity to bring your family and friends with you.
The Conference is particularly interested in methods for resolving complex issues that exhibit some of the following attributes:
CONNECTIVITY - A system consists of a large number of diverse components, referred to as Agents, which are richly interconnected.
AUTONOMY - Agents are not centrally controlled; they have a degree of autonomy but their behaviour is always subject to certain laws, rules or norms.
EMERGENCE - Global behaviour of a complex system emerges from the interaction of agents and is therefore unpredictable but not random; it generally follows discernible patterns.
NONEQUILIBRIUM - Global behaviour of a complex system is far from equilibrium because frequent occurrences of disruptive events do not allow the system to return to the equilibrium between two such events
NONLINEARITY - Relations between agents are nonlinear, which occasionally causes an insignificant input to be amplified into an extreme event (butterfly effect).
SELF-ORGANISATION - A system is capable of self-organizing in response to disruptive events, a feature termed Adaptability. Self-organisation may also be initiated autonomously by the system in response to a perceived need, a feature termed Creativity.
CO-EVOLUTION - A system irreversibly co-evolves with its environment.
High level of dynamics of such systems, which is usually expressed through the frequent occurrence of unpredictable disruptive events, makes conventional optimizers, batch schedulers and resource planning systems unworkable.
Complex Systems occur in an infinite variety of problems, not only in the realm of physical sciences and engineering, but encompassing fields as diverse as economy, the environment, humanities, social and political sciences. Further examples are given in the enclosed list of topics which although incomplete gives an idea of the themes to be covered by the meeting.

 

Más Información

.

Encuentranos

Eco Sitio

Mantengase informado de nuestras ultimas noticias!

Distribuir contenido
Buscar