A comprehensive conceptualization tool for agent-based social simulation would increase the acceptance of this approach among the social scientists similar to the exiting simulation approaches such as system dynamic and discrete event modelling. In this research we explore this proposition to provide an opportunity for the social scientist to access the vast body of research in multi-agent syst...

this paper describes how multi-agent system technology can be used as the underpinning platform for voltage control in power systems. in this study, some facts (flexible ac transmission systems) devices are properly designed to coordinate their decisions and actions in order to provide a coordinated secondary voltage control mechanism based on multi-agent theory. each device here is modeled as ...

in this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. the error dynamics of each player depends on its neighbors’ information. detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. the introduced reinforcement learning-based algorithms learn online the approximate solution...

The main possibilities and challenges of agent-based recommender systems are examined.

Although security is an important issue when developing complex computerised systems, very little work has been done in integrating security concerns in the agentoriented methodologies. This paper introduces extensions to the Tropos methodology to accommodate security. A description of new concepts is given along with an explanation of how these concepts are integrated to the current stages of ...

The field of computer supported collaborative learning has evolved an ontology of types of support for group learning. In recent years, conversational agents have been used successfully to realize forms of dynamic micro and macro level script based support for group learning. However, using existing architectures for managing the coordination of these agent-based behaviors (which can vary widel...

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Transition models explain long-term and large-scale processes fundamentally changing the structure of a societal system. Our concern is that most transition models are too static. Although they capture a move of focus from static equilibria to transitions between dynamic equilibria, they are still rooted in an “equilibriumist” approach. Improvement is possible with agent-based models that give ...