Bringing Constitutive Dynamics to Situated Artificial Institutions

Brito, Maiquel de; Hübner, Jomi Fred; Boissier, Olivier

doi:10.1007/978-3-319-23485-4_63

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…In a different direction, some approaches consider that norms and constitutive rules have particular, independent models and management. This is the case of the Situated Artificial Institution (SAI) approach that defines representations and dynamics for the constitutive state (de Brito et al, 2014(de Brito et al, , 2015a(de Brito et al, , 2018, but is not limited to a particular normative model. On the contrary, it assumes that norms, independent of the model they follow, provide the regulation based on a unified representation of constitutive state.…”

Section: Introductionmentioning

confidence: 99%

Coupling the normative regulation with the constitutive state management in Situated Artificial Institutions

Brito¹,

Hübner²,

Boissier³

2019

The Knowledge Engineering Review

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Artificial Institutions are systems where the regulation defined through norms is based on an interpretation of the concrete world where the agents are situated and interact. Such interpretation can be defined through constitutive rules. The literature proposes independent approaches for the definition and management of both norms and constitutive rules. However, they are usually either not coupled or coupled in an ad hoc and limiting solution. This paper investigates how to make such a coupling. The main contribution of this paper is a formal model basing the regulation provided by the norms on the institutional interpretation of the world provided by constitutive rules. This contribution is based on the Situated Artificial Institutions model that proposes an integrated model of constitutive rules based on status functions.

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Section: Introductionmentioning

confidence: 99%

Coupling the normative regulation with the constitutive state management in Situated Artificial Institutions

Brito¹,

Hübner²,

Boissier³

2019

The Knowledge Engineering Review

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“…Such institutional reality makes the regulation of human societies stable, consistent, and flexible even with people acting in a dynamic world. The result of this work is a model of artificial institution called situated artificial institutions 2 (SAI), that, being introduced in [23][24][25], is extended in this paper. SAI considers norms as part of institutions that contain also the elements to represent the institutional reality and to connect norms in it, providing stability, consistency, and flexibility to the regulation in MAS.…”

Section: Introductionmentioning

confidence: 99%

Situated artificial institutions: stability, consistency, and flexibility in the regulation of agent societies

Brito

Hübner

Boissier

2017

Auton Agent Multi-Agent Syst

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International audienceIn multi-agent systems, norms are a usual way to regulate the behaviour of autonomous agents. To be stable in different circumstances, norms are specified using high level terms, abstracting from the particular dynamics of the environment where the agents are situated. However, applying these norms requires a proper link with a concrete environment. Detaching that link from the norms themselves provides stability to the normative regulation but raises consistency and flexibility issues. Consistency is achieved when the abstract norms are coherent with the environment under regulation. Flexibility is achieved when different kinds of norms share the same interpretation about the environmental state. These properties are provided in some current works. However, since they are interrelated, there is not, to our knowledge, a single proposal providing all of them. This paper proposes the situated artificial institution (SAI) model to address these three issues—stability, consistency, and flexibility—by conceiving norms as part of institutions that provide, through the process of constitution, a social interpretation of the environmental state. After the presentation of the formalised model of SAI, a case study is used to illustrate and test this approach

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Architecture of an Institutional Platform for Multi-Agent Systems

Brito

Hübner

Boissier

2017

PRIMA 2017: Principles and Practice of Multi-Agent Systems

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International audienceArtificial institutions usually consider that the regulation of the behaviour of the agents is expressed by norms that refer to an institutional reality, that is an institutional interpretation of the environment in which the agents are situated. To be applied on real systems, however, artificial institutions need to advance from the theory to the practice. Such step requires to conceive the institutional platform components that are in charge of building the institutional reality used in the normative regulation of the system. Such components must be connectable to the heterogeneous elements composing the environment and must also be able to accommodate the different normative platforms that regulate the system. This paper proposes the architecture of an institutional platform having these features. It is shown also how the proposed institutional platform can be linked to environmental and normative ones

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Bringing Constitutive Dynamics to Situated Artificial Institutions

Cited by 3 publications

References 9 publications

Coupling the normative regulation with the constitutive state management in Situated Artificial Institutions

Coupling the normative regulation with the constitutive state management in Situated Artificial Institutions

Situated artificial institutions: stability, consistency, and flexibility in the regulation of agent societies

Architecture of an Institutional Platform for Multi-Agent Systems

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