From Trust and Forgiveness to Social Capital and Justice: Formal Models of Social Processes in Open Distributed Systems

Pitt, Jeremy

doi:10.1007/978-3-319-29201-4_7

Cited by 7 publications

(4 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Can moral trust be established directly with a machine itself, rather than transitively through its designer? We advocate applying sociological [32] and psychological [33] principles to socio-technical systems, for the reason that it allows the computational or digital agents better interpretation of human behavior. This better understanding by digital counterparts in interactions may lead to longer lasting relationships between agents in the system, facilitating the mechanisms for social trust discussed above.…”

Section: Artificial Social Constructivism and The Prospect Of Shared mentioning

confidence: 99%

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

András

Esterle

Guckert

et al. 2018

IEEE Technol. Soc. Mag.

Self Cite

103

View full text Add to dashboard Cite

Section: Artificial Social Constructivism and The Prospect Of Shared mentioning

confidence: 99%

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

András

Esterle

Guckert

et al. 2018

IEEE Technol. Soc. Mag.

Self Cite

103

View full text Add to dashboard Cite

“…Social capital has been studied by many previous researchers [8,14,4,16]; however, a unified definition of it is a critical issue. Bourdieu [3] refers to SC as the actual or potential collective resources in an institutionalized synergistic network of homogenous agents which in some cases may result into other forms of capitals.…”

Section: Related Workmentioning

confidence: 99%

A Measurement of Social Capital in an Open Source Software Project

Alqithami,

Alzahrani,

Alghamdi

et al. 2019

Preprint

View full text Add to dashboard Cite

The paper provides an understanding of social capital in organizations that are open membership multi-agent systems with an emphasis in our formulation on the dynamic network of social interaction that, in part, elucidate evolving structures and impromptu topologies of networks. This paper, therefore, models an open source project as an organizational network. It provides definitions of social capital for this organizational network and formulation of the mechanism to optimize the social capital for achieving its goal that is optimized productivity. A case study of an open source Apache-Hadoop project is considered and empirically evaluated. An analysis of how social capital can be created within this type of organizations and driven to a measurement for its value is provided. Finally, a verification on whether the social capital of the organizational network is proportional towards optimizing their productivity is considered.

show abstract

“…Content-based models allow us to capture different theories of cognition in the agent's architecture and examine the result of interactions between agents based on those theories. For example, BDI (Rao & Georgeff, 1995), HCogAff (Sloman, 2001), ACT-R (Anderson, Bothell, Byrne, Douglass, Lebiere & Qin, 2004), SOAR (Laird, 2012), or the range of agent architectures discussed by Russell & Norvig (2010), are all viable approaches to capture bounded reasoning processes as well as, in some cases, human emotions and other qualitative states and values such as trust, fairness and justice (Pitt, 2016).…”

Section: Implications For Enduring Institutionsmentioning

confidence: 99%

Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches

Powers

Ekárt

Lewis

2018

Cognitive Systems Research

View full text Add to dashboard Cite

Empirical work has shown that societies can sometimes avoid antisocial outcomes, such as the Tragedy of the Commons, by establishing institutional rules that govern their interactions. Moreover, groups are more likely to avoid antisocial outcomes when they design and enforce their own rules. But this raises the question: when will group members put effort into maintaining their institution so that it continues to provide socially beneficial outcomes? Ostrom derived a set of empirical principles that predict when institutions will endure, which have subsequently been formalised in agent-based models that are based on an executable description of the content of an individual's behaviour. Here we show how these models can be complemented by evolutionary game theory, which focuses on the value or payoff of different behaviours, rather than on the mechanistic content of the behaviour. Using such a value-based model, we determine exactly when individuals will be incentivised to maintain their institution and enforce its rules, including the critical amount that a group must invest into incentivising agents to monitor rule compliance. We highlight the complementarity of content-based and value-based modelling approaches, and therefore provide a step towards unifying theoretical and empirical approaches to understanding enduring institutions and other social phenomena.

show abstract

From Trust and Forgiveness to Social Capital and Justice: Formal Models of Social Processes in Open Distributed Systems

Cited by 7 publications

References 31 publications

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

A Measurement of Social Capital in an Open Source Software Project

Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches

Contact Info

Product

Resources

About