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An evolutionary approach to automated norm synthesis for multi agent systems

Objective

The field of multi-agent systems (MAS) is concerned with the theory, design, and implementation of systems of semi-autonomous software agents that operate in an environment, and typically have conflicting goals. A key issue in such domains is that of coordination: how to design agents to minimise any potential negative aspects of their interactions, and to maximise any potential positive aspects. A key approach to coordination is that of normative systems. A normative system defines constraints on the behaviour of agents to coordinate their interactions. This research programme is at the intersection of normative systems design and evolutionary game theory (EGT). EGT studies how evolutionary forces can lead populations to game theoretic solutions, and has been useful in understanding, for example the distributions of populations of species in habitats. The hypotheses of this project are that (1) EGT can provide a useful mathematical framework to model and understand normative systems in MAS; and (2) EGT techniques can provide a powerful framework to engineer normative systems for MAS. Thus, norm synthesis will consist of an evolutionary process in which most successful norms will prosper, while unsuccessful norms will be naturally discarded. The tools used to understand such norms will be solution concepts from EGT - notably the concept of an evolutionarily stable strategy. In this project we will develop both frameworks for understanding EGT for normative systems design and to synthesise normative systems for MAS, and we will empirically investigate our techniques in the context of two application domains. To carry out this project the fellow will be trained in classical game theory and EGT. To this aim he will benefit from supervision of Prof Michael Wooldridge, and collaboration with his research group in Oxford. This project will develop science and will contribute to the development of the fellow's career plan to become an independent researcher.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-IF-EF-ST - Standard EF

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2015

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Coordinator

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 183 454,80
Address
WELLINGTON SQUARE UNIVERSITY OFFICES
OX1 2JD Oxford
United Kingdom

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Region
South East (England) Berkshire, Buckinghamshire and Oxfordshire Oxfordshire
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 183 454,80
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