An Empirical Approach for Relating Environmental Patterns with Agent Team Compositions

Franco, Mariana Ramos; Campos, Gustavo Augusto Lima de; Sichman, Jaime Simão

doi:10.1007/978-3-319-66595-5_6

Cited by 2 publications

(3 citation statements)

References 14 publications

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“…Following this, the agent checks the social capital of each institution of which it is a member. If the value is lower than a threshold, the agent will leave the institution (lines [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. After this, the current group dinner is chosen by selecting the one organised by the institution (it is member of) with the higher social capital.…”

Section: Social Playersmentioning

confidence: 99%

“…However, recent work on teams, team structures and team coordination [16] could oer some useful insights into structuration (the duality of agency and structure, in that structures are made up of agents, and agents have memory of structures [20]). This could prove highly relevant to the formal conception of nested enterprises and entities, because this memory should perhaps includes elements of the reputational and relational economies which are, in fact, the essence of social capital.…”

Section: Related Workmentioning

confidence: 99%

“…In order to decide whether to accept the invitation or not, players check the social capital of the institution and of the player who sent the invitation. If these values are greater than a certain threshold, the invitation is accepted (lines [14][15][16][17][18]. Following this, the agent checks the social capital of each institution it is a member of.…”

mentioning

confidence: 99%

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Electronic Social Capital for Self-Organising Multi-Agent Systems

Petruzzi

Pitt

Busquets

2017

ACM Trans. Auton. Adapt. Syst.

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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 systemswhere 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 dierent 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 dierent 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. Additional Key Words and Phrases: social capital, nested self-organising systems, electronic institutions, resource allocation, common-pool resource ACM Reference format:

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