Norm Emergence in Multi-Agent Societies

Savarimuthu, Bastin Tony Roy; Purvis, Maryam; Cranefield, Stephen

doi:10.4018/9781599045764.ch012

Cited by 3 publications

(52 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results have contributed to the three phases of learning: communication, observing, and experiential learning. A scenario based on these three learning modes by using Q-learning and the payoff matrix technique of game theory was proposed [21]. Similarly, another author proposed game of trust (GoT) methods for agent teamwork tasks.…”

Section: Background Theorymentioning

confidence: 99%

PACA-ITS: A Multi-Agent System for Intelligent Virtual Laboratory Courses

et al. 2019

View full text Add to dashboard Cite

This paper describes an intensive design leading to the implementation of an intelligent lab companion (ILC) agent for an intelligent virtual laboratory (IVL) platform. An IVL enables virtual labs (VL) to be used as online research laboratories, thereby facilitating and improving the analytical skills of students using agent technology. A multi-agent system enhances the capability of the learning system and solves students’ problems automatically. To ensure an exhaustive Agent Unified Modeling Language (AUML) design, identification of the agents’ types and responsibilities on well-organized AUML strategies is carried out. This work also traces the design challenge of IVL modeling and the ILC agent functionality of six basic agents: the practical coaching agent (PCA), practical dispatcher agent (PDA), practical interaction and coordination agent (PICA), practical expert agent (PEA), practical knowledge management agent (PKMA), and practical inspection agent (PIA). Furthermore, this modeling technique is compatible with ontology mapping based on an enabling technology using the Java Agent Development Framework (JADE), Cognitive Tutor Authoring Tools (CTAT), and Protégé platform integration. The potential Java Expert System Shell (Jess) programming implements the cognitive model algorithm criteria that are applied to measure progress through the CTAT for C++ programming concept task on IVL and successfully deployed on the TutorShop web server for evaluation. The results are estimated through the learning curve to assess the preceding knowledge, error rate, and performance profiler to engage cognitive Jess agent efficiency as well as practicable and active decisions to improve student learning.

show abstract

Section: Background Theorymentioning

confidence: 99%

PACA-ITS: A Multi-Agent System for Intelligent Virtual Laboratory Courses

et al. 2019

View full text Add to dashboard Cite

show abstract

“…In norms spreading, the social network between members in real world is very important because people are not related to each other randomly, but they are connected via the social groups such as work groups, ethnic groups, and hobby groups [40]. …”

Section: Empirical Research and Mechanisms On Normsmentioning

confidence: 99%

“…The literature on social norms reveals that there is no unified view on the mechanism of norms creation and spreading in a society or social group [ 38 – 40 ]. However, according to Coleman [ 41 ], “norms are macrolevel constructs based on purposive actions at the microlevel but coming into an existence through a micro-to-macro transition.…”

Section: Social Normsmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Norms and Normative Multiagent Systems

Mahmoud

Ahmad

Yusoff

et al. 2014

The Scientific World Journal

View full text Add to dashboard Cite

Norms and normative multiagent systems have become the subjects of interest for many researchers. Such interest is caused by the need for agents to exploit the norms in enhancing their performance in a community. The term norm is used to characterize the behaviours of community members. The concept of normative multiagent systems is used to facilitate collaboration and coordination among social groups of agents. Many researches have been conducted on norms that investigate the fundamental concepts, definitions, classification, and types of norms and normative multiagent systems including normative architectures and normative processes. However, very few researches have been found to comprehensively study and analyze the literature in advancing the current state of norms and normative multiagent systems. Consequently, this paper attempts to present the current state of research on norms and normative multiagent systems and propose a norm's life cycle model based on the review of the literature. Subsequently, this paper highlights the significant areas for future work.

show abstract

“…To frame the existing computational models towards the emergence of norms, as pointed out in [2], these may be categorized to imitation, normative advise, machine learning and data-mining models. In this paper we propose reinforcement learning approaches to computing norms.…”

Section: Introductionmentioning

confidence: 99%

The Emergence of Norms via Contextual Agreements in Open Societies

Vouros

2015

Communications in Computer and Information Science

View full text Add to dashboard Cite

This paper explores the emergence of norms in agents' societies when agents play multiple -even incompatible-roles in their social contexts simultaneously, and have limited interaction ranges. Specifically, this article proposes two reinforcement learning methods for agents to compute agreements on strategies for using common resources to perform joint tasks. The computation of norms by considering agents' playing multiple roles in their social contexts has not been studied before. To make the problem even more realistic for open societies, we do not assume that agents share knowledge on their common resources. So, they have to compute semantic agreements towards performing their joint actions.

show abstract

Norm Emergence in Multi-Agent Societies

Cited by 3 publications

References 0 publications

PACA-ITS: A Multi-Agent System for Intelligent Virtual Laboratory Courses

PACA-ITS: A Multi-Agent System for Intelligent Virtual Laboratory Courses

A Review of Norms and Normative Multiagent Systems

The Emergence of Norms via Contextual Agreements in Open Societies

Contact Info

Product

Resources

About