NORMS4SRA

Norm-Governed Self-Organised Systems for Sustainable Resource Allocation

 Coordinatore IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE 

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Mr.
Nome: Shaun
Cognome: Power
Email: send email
Telefono: +44 207 594 8773
Fax: +44 207 594 8609

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 221˙606 €
 EC contributo 221˙606 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-05-01   -   2015-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Mr.
Nome: Shaun
Cognome: Power
Email: send email
Telefono: +44 207 594 8773
Fax: +44 207 594 8609

UK (LONDON) coordinator 221˙606.40

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

resource    computer    equation    framework    norms    logic    formalism    time    allocation   

 Obiettivo del progetto (Objective)

'At a time when there is increasing global demand for scarce resources, the requirement for learning and adapting conventional rules, or norms, that support sustainable resource allocation has never been clearer. In this proposal, we address questions such as: how we can design and formally represent such norms? How can we build computer systems which represent and reason with, learn and adapt those norms. And, how can we understand and visualise the impact of these norms?

In Law & Economics, the formal design of normative regimes is usually tackled using equation-based approaches which is undermined by over-simplifying assumptions, while more recent computer-based simulation approaches lack conciseness and mathematical insights. In this proposal, we aim to investigate a new way via a dual formalism (a logic having an equation-based counterpart) capturing probabilistic argumentation which enables us to go beyond limitations of traditional approaches. At the same time, this new logic-based formalism provides executable specifications to implement norm-governed computer systems, i.e. computer systems whose processes are guided by a set of norms.

To test our framework, we will apply it to the critical issue of resource allocation: rising pressure on earth resources and its consequences such as climate changes is indeed the source of many tensions and conflicts over the world. Amongst all existing EU efforts towards better resource allocation, we will apply our framework more precisely to the field of electrical grids.'

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