Using Social Power to Enable Agents to Reason About Being Part of a Group

Carabelea, Cosmin; Boissier, Olivier; Castelfranchi, Cristiano

doi:10.1007/11423355_12

Cited by 12 publications

(5 citation statements)

References 12 publications

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“…It is also possible to consider the relationship between agents enacting roles in an organization before deciding whether to participate [7]. By distinguishing between what an agent can do, has access to, and is allowed to do, they define what it means to have power over resources.…”

Section: Phases Of Participationmentioning

confidence: 99%

A framework for organization-aware agents

Jensen

Dignum

Villadsen

2016

Auton Agent Multi-Agent Syst

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Section: Phases Of Participationmentioning

confidence: 99%

A framework for organization-aware agents

Jensen

Dignum

Villadsen

2016

Auton Agent Multi-Agent Syst

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“…Role enactment, enact(ρ), is applicable only when ρ is the name of a role, the agent does not currently enact that role. Committing to an objective, commit(φ), is possible only if φ is an organizational objective, and φ is not already a belief or a goal 3 . disregard(φ), deact(ρ) and drop(φ) simply remove the respective formula from the appropriate knowledge base.…”

Section: Acting and Coordinatingmentioning

confidence: 99%

“…It is, however, possible to incorporate more sophisticated reasoning, e.g., by using the notion of social power. For example, in [3], various forms of power agents may have over each other are identified and formalized as rules. These power relations can be used in the reasoning process by adding the rules to the agents' organizational state.…”

Section: Aorta Programsmentioning

confidence: 99%

The AORTA Architecture: Integrating Organizational Reasoning in Jason

Jensen¹,

Dignum

Villadsen³

2014

Engineering Multi-Agent Systems

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Abstract. Open systems are characterized by a diversity of heterogeneous and autonomous agents that act according to private goals, and with a behavior that is hard to predict. They can be regulated through organizations similar to human organizations, which regulate the agents' behavior space and describe the expected behavior of the agents. Agents need to be able to reason about the regulations, so that they can act within the expected boundaries and work towards the objectives of the organization. In this paper, we propose the AORTA 1 architecture for making agents organization-aware. It is designed such that it provides organizational reasoning capabilities to agents implemented in existing agent programming languages without being tied to a specific organizational model. We show how it can be integrated in the Jason agent programming language, and discuss how the agents can coordinate their organizational tasks using AORTA.

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“…Furthermore, we want to extend our model along several directions: (1) to handle negation and constraints as part of the norm language, and in particular the notion of time; (2) to accommodate multiple, hierarchical norm authorities based on roles, along the lines of Cholvy and Cuppens [3] and power relationships as suggested by Carabelea et al [2]; (3) to capture in the conflict resolution algorithm different semantics relating the deontic notions by supporting different axiomations (e.g., relative strength of prohibition versus obligation, default deontic notions, deontic inconsistencies).…”

Section: Related Work and Conclusionmentioning

confidence: 99%

Distributed norm management in regulated multiagent systems

Gaertner

García-Camino²,

Noriega³

et al. 2007

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems

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Norms are widely recognised as a means of coordinating multi-agent systems. The distributed management of norms is a challenging issue and we observe a lack of truly distributed computational realisations of normative models. In order to regulate the behaviour of autonomous agents that take part in multiple, related activities, we propose a normative model, the Normative Structure (NS), an artifact that is based on the propagation of normative positions (obligations, prohibitions, permissions), as consequences of agents' actions. Within a NS, conflicts may arise due to the dynamic nature of the MAS and the concurrency of agents' actions. However, ensuring conflict-freedom of a NS at design time is computationally intractable. We show this by formalising the notion of conflict, providing a mapping of NSs into Coloured Petri Nets and borrowing well-known theoretical results from that field. Since online conflict resolution is required, we present a tractable algorithm to be employed distributedly. We then demonstrate that this algorithm is paramount for the distributed enactment of a NS.

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Using Social Power to Enable Agents to Reason About Being Part of a Group

Cited by 12 publications

References 12 publications

A framework for organization-aware agents

A framework for organization-aware agents

The AORTA Architecture: Integrating Organizational Reasoning in Jason

Distributed norm management in regulated multiagent systems

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