Power Trading Agent Competition (Power TAC) is a recently developed smart grid power market simulator that represents one competition scenario of the Trading Agent Competitions (TAC) international forum. According to the recent liberalization of power systems, the idea of Power TAC is the development of agent-based architectures which will provide realistic tests for the creation of future elec...

A main issue in collaborative learning is providing support and monitoring both the individual learners and the group activities. In this sense, there is a variety of functions that might be accomplished by a collaborative learning support system. Some examples are: knowledge diagnosis and evaluation, group and individual feedback, student and group modelling, and so on. LeCS (Learning from Cas...

Agent-based simulation is increasingly used to analyze the performance of complex systems. In this paper we describe results of our work on one specific agent-based model, showing how it can be validated against the equation-based model from which it was derived, and demonstrating the extent to which it can be used to derive additional results over and above those that the equation-based model ...

Differential equations and agent-based models are different formalisms which can be applied to describe the evolution of complex systems. In this paper it is shown how differential equations can describe interactions among agents: it is pointed out that their capabilities are broader than it is often assumed, and it is argued that such an approach should be preferred whenever applicable. It is ...

In many domains, agent-based system modeling competes with equation-based approaches that identify system variables and evaluate or integrate sets of equations relating these variables. The distinction has been of great interest in a project that applies agent-based modeling to industrial supply networks, since virtually all computer-based modeling of such networks up to this point has used sys...

This work presents a mechanism for the management of network tasks, based on the technology of Intelligent Agents applied to a project of Telemedicine in Intensive Care Units (ICUs).The telemedicine system provides the real time acquisition and analysis of physiological data of patients, the graphical visualisation of these data and their transmission to a central system charged with the collec...

This paper provides a survey and analysis of applications of Agent Based Simulation (ABS). A framework for describing and assessing the applications is presented and systematically applied. A general conclusion from the study is that even if ABS seems a promising approach to many problems involving simulation of complex systems of interacting entities, it seems as the full potential of the agen...

multi agent markov decision processes (mmdps), as the generalization of markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for multi agent reinforcement learning. in this paper, a generalized learning automata based algorithm for finding optimal policies in mmdp is proposed. in the proposed algorithm, mmdp ...

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...