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King's College London

Metanorms, Topologies, and Adaptive Punishment in Norm Emergence

Abstract

dc:description.abstract

Norms provide a means to regulate the behaviour of the members of a society, organisa¬tion or system. While much work has been done on various aspects of norms, normative systems and normative behaviour, this work has been limited in several respects. In particular, the problems of norm emergence have only recently begun to be considered, with existing work adopting only simple structural models. This relates to two crucial issues that have not adequately been addressed. First, existing models of norms assume that sanctions are static, and do not change in relation to relevant information about the violator, the situation or the history. Yet, typically there is information available that can significantly impact on the nature of such sanctions, and can even allow so¬phisticated sanctioning structures that achieve more effective regulation. Second, work on norm emergence has typically assumed simple topological structures of agents, if any at all, yet real computational systems, in which norms are relevant, such as peer-to-peer systems and wireless sensor networks, may have topologies of varying degrees of sophistication. These topologies constrain potential relationships between agents, limiting the observation of violations, and possibly also limiting the kind of sanctions than may be imposed. In this thesis, therefore, we seek to address these problems in support of more effective norm-regulated systems, by developing mechanisms that can incentivise cooperative behaviour in societies of self-interested agents. <br/>Publisher: Thesis (Ph.D.)--King's College London, 2013. <br/>Creation Date: 2013 <br/>Format: 195 pages : ill., graphs, tables ; 31 cm.. <br/>Language: English<br/>Snippet: Norms provide a means to regulate the behaviour of the members of a society, organisa¬tion or system. While much work has been done on various aspects of norms, normative systems and normative... about the violator, the situation or the history. Yet, typically there is information available that can significantly impact on the nature of such sanctions, and can even allow so¬phisticated... . This relates to two crucial issues that have not adequately been addressed. First, existing models of norms assume that sanctions are static, and do not change in relation to relevant information... behaviour, this work has been limited in several respects. In particular, the problems of norm emergence have only recently begun to be considered, with existing work adopting only simple structural models... sanctioning structures that achieve more effective regulation. Second, work on norm emergence has typically assumed simple topological structures of agents, if any at all, yet real computational systems, in... Metanorms, topologies, and adaptive punishment in norm emergence /

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy
Level dc:type.qualificationlevel
Doctoral Thesis
Grantor dc:publisher.institution
King's College London
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mahmoud, Samhar
Advisors dc:contributor.advisor
  • Luck, Michael Mordechai
  • Keppens, Jeroen

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
oai:kclpure.kcl.ac.uk:studenttheses/552e1da7-e60d-4960-9522-26342f8826d8
OAI identifier oai:identifier
oai:kclpure.kcl.ac.uk:studenttheses/552e1da7-e60d-4960-9522-26342f8826d8

Chain of custody

source
Harvested from
King's College London
Base URL
kclpure.kcl.ac.uk/ws/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Mahmoud, Samhar. Metanorms, Topologies, and Adaptive Punishment in Norm Emergence. Doctoral Thesis thesis, King's College London, 2013. https://kclpure.kcl.ac.uk/portal/en/studentTheses/552e1da7-e60d-4960-9522-26342f8826d8