[Todos CMAT] Fw: [Complex'2009] Workshop announcement and call for papers - Causality in Complex Systems

Dr. Roberto Markarian roma en fing.edu.uy
Jue Oct 2 11:32:37 UYT 2008


Recibo y distribuyo. rm


> Apologies if you received multiple copies of this posting. Please
> consider to contribute to the following events and kindly help to
> forward the Call for Papers to those potentially interested.
> ====================================================================
> 
> Under the auspices of Complex '09 <http://www.complex-sys.org/> which
> is being held in Shanghai from the 23rd to 25th of February, we are
> organising a workshop to review the state-of-the-art in thinking about
> Causality in Complex Systems, and to develop and discuss the key
> research questions the complex systems community most needs addressed.
> The workshop aims to leverage relevant experience and knowledge by
> bringing together people who have expertise in particular
> domain-specific approaches to dealing with causal networks in different
> fields. We seek to stimulate cross-disciplinary synthesis and
> cooperation in methodological research. 
> 
> One of the reasons people have difficulty in dealing with complex
> systems is that the linear causal chain way of thinking - A causes B
> causes C causes D ... etc - breaks down in the presence of feedback and
> multiple interactions between causal and influence pathways. One could
> say that complex systems are characterised by networked rather than
> linear causal relationships. 
> 
> Moreover, the open-ended nature of complex adaptive systems implies that
> their structure, properties and behaviour can change dynamically as a
> result of interactions with the system's environment (e.g. through
> adaptation) and as a result of internal interactions (through
> self-organisation), so traditional notions of causality are even further
> stretched by these adaptive, self-organising and autopoietic behaviours.
> 
> 
> Nevertheless it is important to be able to reason about complex systems,
> make inferences about factors that contribute to current and alternative
> states of complex systems and explore their possible future
> trajectories, especially if we wish to influence them towards more
> favourable futures, and away from more dangerous possibilities. 
> 
> Large scale examples include ecosystems, economic systems, coupled
> biophysical-socioeconomic systems, integrated supply chains/industrial
> systems and social systems, but these remarks also apply for example to
> attempts to understand a physical organism as a complex system. 
> 
> Please follow the link for further information on the workshop -
> 
> http://www.complexsystems.net.au/wiki/Complex_'09_Workshop_on_Causality_
> in_Complex_Systems
> 
> Please forward this email on to those you think might be interested.
> 
> Regards, 
> 
> Dr Matthew Berryman 
> 
> BH: +61-8-8259-6295 
> 
> Fax: +61-8-8259-5055 
> 
> Mob: +61-4-1345-8594
> 
>


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