Marchant, James M. and Griffiths, Nathan (2017) Limited observations and local information in convention emergence. In: 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil, 8–12 May 2017. Published in: Proceedings of 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017) pp. 1628-1630.

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Abstract

In multi-agent systems it is often desirable for agents to adhere to standards of behaviour that minimise clashes and wasting of (limited) resources. In situations where it is not possible or desirable to dictate these standards globally or via centralised control, convention emergence offers a lightweight and rapid alternative. Placing fixed strategy agents within a population has been shown to facilitate faster convention emergence with some degree of control. Placing these fixed strategy agents at topologically influential locations (such as high-degree nodes) increases their effectiveness. However, finding such influential locations often assumes that the whole network is visible or that it is feasible to inspect the whole network in a computationally practical time, a fact not guaranteed in many real-world scenarios. We present an algorithm, PO-Place, that finds influential nodes given a finite number of network observations. We show that PO-Place finds sets of nodes with similar reach and influence to the set of high-degree nodes and we then compare the performance of PO-Place to degree placement for convention emergence in several real-world topologies.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH):	Multiagent systems, Algorithms
Journal or Publication Title:	Proceedings of 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017)
Publisher:	IFAAMAS
Official Date:	25 January 2017
Dates:	Date Event 25 January 2017 Accepted
Page Range:	pp. 1628-1630
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Description:	Extended Abstract
Conference Paper Type:	Paper
Title of Event:	16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017)
Type of Event:	Conference
Location of Event:	Sao Paulo, Brazil
Date(s) of Event:	8–12 May 2017
Related URLs:	Organisation Publisher
Open Access Version:	Publisher

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