Creating a Modeling Language Based on a New Metamodel for Adaptive Normative Software Agents

Viana, Marx; Alencar, Paulo; Guimarães, Everton; Cirilo, Elder; Lucena, Carlos José Pereira de

doi:10.1109/access.2022.3147144

Cited by 3 publications

(6 citation statements)

References 49 publications

(161 reference statements)

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“…Aldewereld et al [27] presented the concept of group norms to regulate three sets of agents. Viana et al [28] created a model language to support the systematic design of adaptive normative multi-agent systems. Brito et al [29] situated norms in a hybrid, interactive, normative multi-agent system to provide a context-aware crisis regulation.…”

Section: Modeling Social Normsmentioning

confidence: 99%

NorMASS: A normative MAS-based modeling approach for simulating incentive mechanisms of Q&A communities

et al. 2023

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Incentive mechanisms steer users in Q&A communities to achieve community goals, which need to be cautiously reviewed and revised before actual industrial application. Simulating incentive mechanisms is significant for predicting how changes in incentive mechanisms will affect community emergence, such as user answering patterns. However, due to the complexity of Q&A communities, the challenge faced by simulating incentive mechanisms lies in the difficulty of establishing micro-macro connections in the communities to simulate their emergence. To fill this gap, this paper proposes a Normative Multi-Agent System based Simulation (NorMASS) approach to simulate community emergence. The NorMASS models a Q&A community as a normative multi-agent system and adopts agents to formally express community users. Moreover, the approach provides an open-source simulator with a data generator to simulate community emergence. An evaluation of the NorMASS comparing simulation emergence with the counterpart of an actual community demonstrates that the proposed approach provides an effective solution for simulating incentive mechanisms of Q&A communities, with a similarity of 80% or above.

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Section: Modeling Social Normsmentioning

confidence: 99%

NorMASS: A normative MAS-based modeling approach for simulating incentive mechanisms of Q&A communities

et al. 2023

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“…Adaptive Normative Agent Modeling Language (ANA-ML) 43 is a modeling language for creating adaptive normative agents. ANA-ML extends the MAS-ML (Multi-Agent Systems Modeling Language) 44 by incorporating adaptations and norm-related abstractions through a UML extension 45 .…”

Section: Ana-ml Modeling Languagementioning

confidence: 99%

“…All entities comprising the virtual market system, their associated properties, and the relationships between them have been described. The diagram elements 43 have been used to illustrate the entities of SMAs, although some properties have been omitted. Additionally, activity diagrams have been employed to describe various dynamic aspects.…”

Section: Virtual Marketplacementioning

confidence: 99%

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A framework for creating systems capable of adapting and dealing with norms based on software agents

Viana

Alencar

Cowan

et al. 2023

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The software for distributed intelligent systems, also known as Multi-agent Systems (MASs), must possess the capability to comply with environmental constraints, such as norms, and exhibit self-adaptive mechanisms to autonomously modify their behavior in response to contextual changes and handle adverse situations independently. However, there is a lack of comprehensive understanding of the concepts of self-adaptation and normative systems, as well as their behavior and interactions, which is often not adequately supported by software tools. This research introduces an extension to the Framework for Normative Agent Java Simulation (JSAN), enabling implement normative adaptive agents based on an architecture capable of dealing with norms through self-adaptation. The extended framework provides support for the key properties, namely self-adaptation, norms, and normative reasoning. To validate the efficacy of this approach, a virtual marketplace study case is presented, showcasing the agents' ability to adapt to norms while facilitating user transactions and product purchases.

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“…To support normative agents modeling, [40] and [41] proposed the NorMAS-ML (Supporting the Modeling of Normative Multi-agent Systems) and the ANA-ML Adaptative Normative Agent -Modeling Language), respectively, as tools for modeling normative agents. They are extensions of MAS-ML [42] that enable modeling normative attributes in MAS.…”

Section: B Multiagent Systemsmentioning

confidence: 99%

Designing Intelligent Agents in Normative Systems Toward Data Regulation Representation

et al. 2023

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Personal data protection regulation plays an important role in defining the rights and obligations of the agents involved in processing personal data (i.e., data subjects, controllers, and processors). These agents are allowed to execute actions to achieve their goals by obeying the personal data protection rules; however, this exercise may spawn data flow information asymmetry; for instance, a company may have more information regarding how that data is being used than individuals. This asymmetry can undermine individuals' ability to protect their rights and interests and lead to a lack of trust in organizations and government bodies responsible for protecting their data. In this context, this article proposes: (i) a consent metamodel based on the literature to aid agents in identifying their major concerns when sharing personal data; (ii) a structure to build use case scenarios in the personal data regulation context; (iii) an intelligent normative multiagent system architecture to represent the personal data regulation rights and obligations, as well as the agent's decision-making process. The latter will consider the normative rewards and punishments in the aforementioned scenario structure; (iv) a use case in the open banking scenario. This article demonstrates how we propose to contribute to representing agents' preferences and data regulation concerns. We do so with a normative multiagent system and designing agents with cognitive reasoning capabilities.

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Creating a Modeling Language Based on a New Metamodel for Adaptive Normative Software Agents

Cited by 3 publications

References 49 publications

NorMASS: A normative MAS-based modeling approach for simulating incentive mechanisms of Q&A communities

NorMASS: A normative MAS-based modeling approach for simulating incentive mechanisms of Q&A communities

A framework for creating systems capable of adapting and dealing with norms based on software agents

Designing Intelligent Agents in Normative Systems Toward Data Regulation Representation

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