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Application-driven Challenges for Automata Networks and Complex Systems

Project description

Efficient decision algorithms for complex dynamical systems

Research on Automata Networks (AN) and Cellular Automata (CA) is still in its early stages. The MSCA-funded ACANCOS project aims to establish a robust and globally competitive research foundation. Building upon prior collaborations focused on AN and CA, the project centres on modelling complex systems using these discrete models. It fosters connections among research groups from five countries, including two outside the EU, with experts spanning two communities (AN and CA), two orientations (theory and application), and three disciplines (computer science, mathematics, and biomedicine). The project’s objectives include understanding and designing efficient decision algorithms for complex dynamical systems, developing novel methods for data encryption using CA, and utilising AN for innovative conceptualisation and modelling of Gene Regulatory Networks (GRN).

Objective

The ACANCOS project aims to lay the foundation for a solid, and internationally competitive research, which is deeply rooted in a context of numerous prior collaborations (but non structured in an unique network on a worldwide scale) on Automata Networks, Cellular Automata, and modelling of complex systems by these discrete models.

ACANCOS connects the scientific expertise and excellence of research groups from five countries, two of them outside EU, including experts from two distinct communities (AN and CA), from two distinct orientations (theory-oriented and application-oriented), and from three distinct disciplines (computer science, mathematics, and biomedicine).

The scientific objectives of the project are:
a) Increasing the knowledge on the relations among the architecture/properties of the underlying graph of AN and the dynamical properties of DTDS defined by AN;
b) Understanding the sensitivity/robustness of AN to (a)synchronism;
c) Understanding AN through the concept of intrinsic simulation, i.e. the capacity of instances of the computational model to simulate the dynamical behaviour of other instances of the same model;
d) Targeting and understanding wide classes of CA both exhibiting the complex behaviours of general CA and with decidable dynamical properties;
e) Designing efficient decision algorithms for the dynamical properties describing the dynamical behaviour of DTDS defined by the above mentioned classes of CA;
f) Understanding the complexity of the problems regarding the dynamics of DTDS defined by CA with both finite and infinite lattice.
g) AN for new conceptualisation and modelling of GRN: theoretical validations and applicative validations on real GRN;
h) New CA-based methods for data encryption;
Sharing knowledge among different cultural and scientific environments will be crucial to achieve the scientific objectives of the project. The partnership will be strengthened through summer schools and workshops.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff Exchanges

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Call for proposal

(opens in new window) HORIZON-MSCA-2022-SE-01

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Coordinator

UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Net EU contribution
€ 82 800,00
Address
PIAZZA DELL'ATENEO NUOVO 1
20126 Milano
Italy
Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Participants (5)

Partners (6)