Computational Institutions for Modelling Norm-Regulated MAS: An Approach Based on Coordination Artifacts

Rubino, Rossella; Omicini, Andrea; Denti, Enrico

doi:10.1007/11775331_9

Cited by 16 publications

(14 citation statements)

References 14 publications

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“…In the field of electronic institutions, computational institutions have been defined for modelling norm-regulated MAS based on coordination artifacts as the abstractions encapsulating norms as coordination policies [58]. In the distance learning field, Nardini et al [31] discusses how technologies based on the A&A meta-model could be exploited to build a framework for collaborative learning that would promote cognitive decentralisation and overcome typical reasoning bias of unilateral knowledge transmission.…”

Section: Artifacts and Other Applications Fieldsmentioning

confidence: 99%

Artifacts in the A&A meta-model for multi-agent systems

Omicini

Ricci

Viroli

2008

Auton Agent Multi-Agent Syst

Self Cite

271

136

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In this article we focus on the notion of artifact for agents in multi-agent systems (MAS) as a basis for a new meta-model promoting the modelling and engineering of agent societies and MAS environment as first-class entities. Its conceptual foundations lay upon theories and results coming from computational sciences as well as from organisational and cognitive sciences, psychology, computer supported cooperative work (CSCW), anthropology and ethology. In the resulting agents & artifacts (A&A) meta-model, agents are the (pro-)active entities in charge of the goals/tasks that altogether build up the whole MAS behaviour, whereas artifacts are the reactive entities providing the services and functions that make individual agents work together in a MAS, and that shape agent environment according to the MAS needs. After presenting the scientific background, we define the notions of artifact in the A&A meta-model, discuss how it affects the notion of intelligence in MAS, and show its application to a number of agent-related research fields.

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Section: Artifacts and Other Applications Fieldsmentioning

confidence: 99%

Artifacts in the A&A meta-model for multi-agent systems

Omicini

Ricci

Viroli

2008

Auton Agent Multi-Agent Syst

Self Cite

271

136

View full text Add to dashboard Cite

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“…results in which the MCC does not vary much). Moreover, this experiment demonstrates that in a typical situation 30 our proposal allows agents to keep track of the institutional state with more precision. Figure 5 illustrates the MCC achieved per each agent type on average with respect to the number of steps that the experiment is executed.…”

Section: Number Of Stepsmentioning

confidence: 77%

“…agents select the next action to be executed randomly). 30 A typical situation is when most of the institutional facts are not visible (i.e. when visibility = 0.25) and the variance of the noise that affects agent observations is half of the agent accuracy (i.e.…”

Section: Number Of Stepsmentioning

confidence: 99%

Reasoning about constitutive norms in BDI agents

Criado

Argente

Noriega

et al. 2013

Logic Journal of IGPL

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Software agents can be members of different institutions along their life; they might even belong to different institutions simultaneously. For these reasons, agents need capabilities that allow them to determine the repercussion that their actions would have within the different institutions. This association between the physical word, in which agents' interactions and actions take place, and the institutional world is defined by means of constitutive norms. Currently, the problem of how agents reason about constitutive norms has been tackled from a theoretical perspective only. Thus, there is a lack of more practical proposals that allow the development of software agents capable of reasoning about constitutive norms. In this article we propose an information model, knowledge representation and an inference mechanism to enable Belief-Desire-Intention agents to reason about the consequences of their actions on the institutions and making decisions accordingly. Specifically, the information model, knowledge representation and inference mechanism proposed in this article allows agents to keep track of the institutional state given that they have a physical presence in some real-world environment. Agents have a limited and not fully believable knowledge of the physical world (i.e. they are placed in an uncertain environment). Therefore, our proposal also deals with the uncertainty of the environment.

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“…Also, [31] defines a precise semantics for labels associated to transitions of electronic institutions. [26] presents the concept of computational institution, which is "regarded as a virtual organization ruled by norms'". In particular, they propose a possible mapping of normative and constitutive rules over the abstraction provided by TuCSoN [25], an existing infrastructure to implement open systems.…”

Section: Discussionmentioning

confidence: 99%

“…In particular, they propose a possible mapping of normative and constitutive rules over the abstraction provided by TuCSoN [25], an existing infrastructure to implement open systems. In [26] the authors focus their attention more on the proposal of a specific architecture than on the definition of the concepts needed to specify an institution. Instead, the attention of this paper has been devoted more on the conceptualization of the institutional notions needed to specify an institution, and we think that a considerable advantage of our approach is its independence of a specific architecture or implementation language, which is an important feature of open systems.…”

Section: Discussionmentioning

confidence: 99%

Artificial institutions: a model of institutional reality for open multiagent systems

et al. 2007

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Software agents' ability to interact within different open systems, designed by different groups, presupposes an agreement on an unambiguous definition of a set of concepts, used to describe the context of the interaction and the communication language the agents can use. Agents' interactions ought to allow for reliable expectations on the possible evolution of the system; however, in open systems interacting agents may not conform to predefined specifications. A possible solution is to define interaction environments including a normative component, with suitable rules to regulate the behaviour of agents.To tackle this problem we propose an application-independent metamodel of artificial institutions that can be used to define open multiagent systems. In our view an artificial institution is made up by an ontology that models the social context of the interaction, a set of authorizations to act on the institutional context, a set of linguistic conventions for the performance of institutional actions and a system of norms that are necessary to constrain the agents' actions.

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Computational Institutions for Modelling Norm-Regulated MAS: An Approach Based on Coordination Artifacts

Cited by 16 publications

References 14 publications

Artifacts in the A&A meta-model for multi-agent systems

Artifacts in the A&A meta-model for multi-agent systems

Reasoning about constitutive norms in BDI agents

Artificial institutions: a model of institutional reality for open multiagent systems

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