Venue
Co-located with the CCS 2018.
Vellidio Convention Center
Leof. Stratou 3, Thessaloniki 546 39, Greece
Invited Speakers
Samir Suweis
University of Padua
TBD
TBD
Co-located with the CCS 2018.
Vellidio Convention Center
Leof. Stratou 3, Thessaloniki 546 39, Greece
7 Jun Call for abstracts
26 Jun Deadline for abstract submission
28 Jun Notification of acceptance
30 Jun CCS EarlyBird Registration deadline
29 Jul Notification of Acceptance (only for submissions received after 30 June)
15 Aug CCS Standard Registration deadline
26 Sep Satellite event
Only contributions submitted through the EasyChair system will be considered.
Authors of accepted contributions should register to the main conference.
University of Padua
TBD
The Information Processing in Complex Systems (IPCS) satellite meeting is organized, since 2012, during the Conference on Complex Systems.
Our goal is to provide a forum for researchers who follow an information-theoretic approach for the analysis of complex systems.
Here they can present recent achievements and discuss promising hypotheses and further research directions, combining both classical and quantum information approaches.
All systems in nature can be considered from the perspective that they process information.
Information is registered in the state of a system and its elements, implicitly and invisibly.
As elements interact, information is transferred. Indeed, bits of information about the state of one element will travel – imperfectly – to the state of the other element, forming its new state.
This storage and transfer of information, possibly between levels of a multi level system, is imperfect due to randomness or noise.
From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions.
Mapping out exactly how these bits of information percolate through the system reveals fundamental insights in how the parts orchestrate to produce the properties of the system.
A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse
complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with
disparate semantics could be translated into the language of information processing which in turn will provide a lingua franca for complex systems.
Assistant Professor in the Complexity Institute at the School of Physical and Mathematical Sciences, Nanyang Technological University
