Electronic social capital for self-organising multi-agent systems

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Title: Electronic social capital for self-organising multi-agent systems
Author(s): Petruzzi, PE
Pitt, J
Busquets, D
Item Type: Journal Article
Abstract: It is a recurring requirement in open systems, such as networks, distributed systems and socio-technical systems, that a group of agents must coordinate their behaviour for the common good. In those systems – where agents are heterogeneous – unexpected behaviour can occur due to errors or malice. Agents whose practices free-ride the system can be accepted to a certain level; however, not only do they put the stability of the system at risk, but they also compromise the agents that behave according to the system’s rules. In social systems, it has been observed that social capital is an attribute of individuals that enhances their ability to solve collective action problems. Sociologists have studied collective action through human societies and observed that social capital plays an important role in maintaining communities though time as well as in simplifying the decision making in them. In this work, we explore the use of Electronic Social Capital for optimising self-organised collective action. We developed a context-independent Electronic Social Capital framework to test this hypothesis. The framework comprises a set of handlers that capture events from the system and update three di erent forms of social capital: trustworthiness, networks and institutions. Later, a set of metrics are generated by the forms of social capital and used for decision-making. The framework was tested in di erent scenarios such as 2 -player games, n -player games and public goods games. The experimental results show that social capital optimises the outcomes (in terms of long-term satisfaction and utility), reduces the complexity of decision-making and scales with the size of the population. This work proposes an alternative solution using Electronic Social Capital to represent and reason with qualitative, instead of traditional quantitative, values. This solution could be embedded into socio-technical systems to incentivise collective action without commodifying the resources or actions in the system.
Publication Date: 9-Oct-2017
Date of Acceptance: 9-May-2017
URI: http://hdl.handle.net/10044/1/48504
DOI: https://dx.doi.org/10.1145/3124642
ISSN: 1556-4703
Publisher: Association for Computing Machinery (ACM)
Journal / Book Title: ACM Transactions on Autonomous and Adaptive Systems
Volume: 12
Issue: 3
Copyright Statement: © ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Autonomous and Adaptive Systems, {VOL# 12, ISS# 3, 9 Oct 2017} http://doi.acm.org/10.1145/3124642
Keywords: Science & Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
Social capital
nested self-organising systems
electronic institutions
resource allocation
common-pool resource
0801 Artificial Intelligence And Image Processing
1702 Cognitive Science
Artificial Intelligence & Image Processing
Publication Status: Published
Article Number: 13
Appears in Collections:Faculty of Engineering

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