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A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours

A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours

Objective

The problem:The design of collective adaptive systems (CAS) must be supported by a powerful well-founded framework for modelling and analysis. CAS consist of a large number of heterogeneous entities with decentralised control and varying degrees of complex autonomous behaviour. These entities may be competing for shared resources even when collaborating to reach common goals. The pervasive but transparent nature of CAS, together with the importance of the societal goals they address, mean that it is imperative that thorough a priori analysis and verification of their design is carried out to investigate all aspects of their behaviour before they are put into operation.
Solution and target outcome:Our main objective is the development of an innovative formal design framework that provides a specification language forCAS and a large variety of tool-supported, scalable analysis and verification techniques. These techniques will be based on the original combination of recent breakthroughs in the field of Formal Methods, in particular stochastic process algebras and associated verification techniques, and Applied Mathematics, in particular mean field/continuous approximation and control theory. Such a design framework will provide scalable extensive support for the verification of developed models, and also enable and facilitate experimentation and discovery of new design patterns for emergent behaviour and control over spatially distributed CAS.
Case studies:ICT-based CAS are at the core of the envisioned smart cities of the future. The development of our methodology will focus on the provisioning challenges of smart urban transport and smart grid. Such systems of heterogeneous components with competing goals must also manage resources in a fair and efficient way. This is particularly challenging when designing for behaviour that is emergent and spatially inhomogeneous but must nevertheless be guaranteed to satisfy operational requirements.

Coordinator Contact

Jane HILLSTON (Ms.)

Coordinator

THE UNIVERSITY OF EDINBURGH

Address

Old College, South Bridge
Eh8 9yl Edinburgh

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 973 496

Administrative Contact

Angela Noble (Ms.)

Participants (6)

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ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Switzerland

EU Contribution

€ 84 552

LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN

Germany

EU Contribution

€ 2 000

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 379 761

SCUOLA IMT (ISTITUZIONI, MERCATI, TECNOLOGIE) ALTI STUDI DI LUCCA

Italy

EU Contribution

€ 551 100

CONSIGLIO NAZIONALE DELLE RICERCHE

Italy

EU Contribution

€ 420 414

UNIVERSITY OF SOUTHAMPTON

United Kingdom

EU Contribution

€ 193 677

Project information

Grant agreement ID: 600708

Status

Closed project

  • Start date

    1 April 2013

  • End date

    31 March 2017

Funded under:

FP7-ICT

  • Overall budget:

    € 3 365 300

  • EU contribution

    € 2 605 000

Coordinated by:

THE UNIVERSITY OF EDINBURGH

United Kingdom

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