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CoCoNat SIGNED

Coordination in constrained and natural distributed systems

Total Cost €

EC-Contrib. €

Partnership

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CoCoNat project word cloud

Explore the words cloud of the CoCoNat project. It provides you a very rough idea of what is the project "CoCoNat" about.

requiring contributes models symmetry multiple lens nervous algorithmic computer limitations limited structure networks spatial unlike populations environment operate phenomena species fundamental breaking independently molecular ranging lacking comprise self distributed firefly advocated nature adaptive biological simultaneously weak acting ubiquitous communities environments noisy dynamic employing resilient natural synchronisation model computational population theory embryonic communication framework angles display engineering decision unreliable techniques sophisticated consensus tend agents entities organising computing examples restricted intricate exhibit

Project "CoCoNat" data sheet

The following table provides information about the project.

Coordinator	INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA Organization address address: Am Campus 1 city: KLOSTERNEUBURG postcode: 3400 website: www.ist.ac.at contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Austria [AT]
Total cost	174˙167 €
EC max contribution	174˙167 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2018
Funding Scheme	MSCA-IF-EF-ST
Starting year	2019
Duration (year-month-day)	from 2019-06-01 to 2021-05-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA Organization address address: Am Campus 1 city: KLOSTERNEUBURG postcode: 3400 website: www.ist.ac.at contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (KLOSTERNEUBURG)	coordinator	174˙167.00

Map

Project objective

In recent years, an algorithmic theory of natural and biological systems has been increasingly advocated as providing a much needed framework for investigating complex self-organising processes in nature. This project contributes to this research program by employing the distributed computing lens to model natural phenomena. Biological systems exhibit many properties also studied in distributed computing: they comprise several independently acting entities, tend to operate in noisy and dynamic environments, thus requiring them to be highly-resilient and adaptive, solve intricate coordination tasks, and display sophisticated communication techniques.

This project aims to develop the theory of distributed synchronisation and coordination tasks in restricted models of distributed computing. These tasks are some of the most fundamental problems in distributed computing, as they are essential in computer networks as well as numerous other areas of engineering and computing. In addition, they are ubiquitous in natural and biological systems, ranging from molecular to population-level systems, which are known to solve various synchronisation and coordination tasks: examples include symmetry-breaking during the development of the nervous system, consensus decision making in species communities, and synchronisation in firefly populations and embryonic development.

Unlike computer networks, biological distributed systems have unique features: (1) the agents typically have limited computational abilities, (2) communication is unreliable and restricted, (3) the system has a dynamic spatial structure, and (4) the environment may be noisy. Currently, distributed computing models that consider all aspects simultaneously are lacking. The proposed research approaches this goal from multiple angles by developing new models and analysis methods for determining the limitations of synchronisation and related tasks in both strong and weak models of computing.

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The information about "COCONAT" are provided by the European Opendata Portal: CORDIS opendata.