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https://doi.org/10.65109/tjrf2...
Article . 2014 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2019
Data sources: DBLP
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Minimality and simplicity in the on-line automated synthesis of normative systems

Authors: Javier Morales; Maite López-Sánchez; Juan A. Rodríguez-Aguilar; Michael J. Wooldridge; Wamberto Weber Vasconcelos;

Minimality and simplicity in the on-line automated synthesis of normative systems

Abstract

Much previous research has investigated explicit, machine-processable norms as a means to facilitate coordination in open multi-agent systems. This research can typically be classified as considering either offline design (norms are synthesised at design time) or online design. Online synthesis techniques aim to construct norms for a system while that system is actually running. A promising recent approach to on-line norm synthesis has been proposed but it suffers from serious drawbacks: (i) it needs too much nformation; (ii) it ignores issues of compactness in terms of minimality (ensuring that norms are not superfluous) and simplicity (ensuring that agents can process norms with little computational effort). To overcome these drawbacks, we propose an optimistic approach which, even though it uses less information, is able to explore more norms and synthesises sets of norms which are more compact. We present experimental evidence of the quality of our approach.

Keywords

Norms, Normative systems, On-line norm synthesis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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