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Franks, Henry P. W. (2013) Supporting cooperation and coordination in open multi-agent systems. PhD thesis, University of Warwick.
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WRAP_THESIS_Franks_2013.pdf - Submitted Version Download (2999Kb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b2688873~S1
Abstract
Cooperation and coordination between agents are fundamental processes for increasing
aggregate and individual benefit in open Multi-Agent Systems (MAS).
The increased ubiquity, size, and complexity of open MAS in the modern world
has prompted significant research interest in the mechanisms that underlie cooperative
and coordinated behaviour. In open MAS, in which agents join and
leave freely, we can assume the following properties: (i) there are no centralised
authorities, (ii) agent authority is uniform, (iii) agents may be heterogeneously
owned and designed, and may consequently have con
icting intentions and inconsistent
capabilities, and (iv) agents are constrained in interactions by a complex
connecting network topology. Developing mechanisms to support cooperative
and coordinated behaviour that remain effective under these assumptions
remains an open research problem.
Two of the major mechanisms by which cooperative and coordinated behaviour
can be achieved are (i) trust and reputation, and (ii) norms and conventions.
Trust and reputation, which support cooperative and coordinated
behaviour through notions of reciprocity, are effective in protecting agents from
malicious or selfish individuals, but their capabilities can be affected by a lack of
information about potential partners and the impact of the underlying network structure. Regarding conventions and norms, there are still a wide variety of
open research problems, including: (i) manipulating which convention or norm
a population adopts, (ii) how to exploit knowledge of the underlying network
structure to improve mechanism efficacy, and (iii) how conventions might be
manipulated in the middle and latter stages of their lifecycle, when they have
become established and stable.
In this thesis, we address these issues and propose a number of techniques
and theoretical advancements that help ensure the robustness and efficiency
of these mechanisms in the context of open MAS, and demonstrate new techniques
for manipulating convention emergence in large, distributed populations.
Specfically, we (i) show that gossiping of reputation information can mitigate
the detrimental effects of incomplete information on trust and reputation and reduce
the impact of network structure, (ii) propose a new model of conventions
that accounts for limitations in existing theories, (iii) show how to manipulate
convention emergence using small groups of agents inserted by interested
parties, (iv) demonstrate how to learn which locations in a network have the
greatest capacity to in
uence which convention a population adopts, and (v)
show how conventions can be manipulated in the middle and latter stages of
the convention lifecycle.
Item Type: | Thesis (PhD) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Library of Congress Subject Headings (LCSH): | Multiagent systems | ||||
Official Date: | March 2013 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Griffiths, Nathan | ||||
Extent: | xxv, 282 leaves : charts. | ||||
Language: | eng |
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