When dealing with non-trivial social systems, MultiAgent Based Simulation (MABS) makes it possible to model and simulate social aspects without neglecting articulated motivations, decisions and behaviours by individuals. In this paper, we experiment with the simulation of a peculiar sort of social system – namely, Medieval Battles – by using general-purpose agent methodologies and technologies ...

Agent-based recommender systems are tools able to assist users’ choices with suggestions coming closest to their orientations. In this context, it is relevant to identify those users that are the most similar to the target user in order to require them suitable suggestions. However, particularly when we deal with video contents for e-Learning, it should be appropriate also to consider (i) recom...

With the increasing globalization of economy and consequent increasing in the inter and intra organizational competitiveness, the role of groups in organizations and businesses achieve greater significance. The work, as well as the responsibility involved to reach a decision, is distributed among group members, which may be distributed geographically and may cooperate in an asynchronous way. Th...

Air quality is one of the main priorities for the improvement of the life quality in urban regions, as air pollution is usually, concentrated in such densely populated areas. Most of the countries have a national air quality monitoring network that allow an analysis of the air quality status, especially for urban regions that are nodes in this network. As the network is geographically distribut...

Normative multiagent systems as a research area can be defined as the intersection of normative systems and multiagent systems. Since the use of norms is a key element of human social intelligence, norms may be essential too for artificial agents that collaborate with humans, or that are to display behavior comparable to human intelligent behavior. By integrating norms and individual intelligen...

This paper presents a system for designing and updating a personalized study plan in a collaborative environment. Unlike existing systems, which are mainly interested in storing the study plan, this system based on learning agents is able to suggest a study plan and if needed, identify potentially problematic choices in the future, thus bringing dynamics in to the system. By collaborating with ...

In this paper we consider the adaptability in an agent-based Virtual Organisation (VO). After introducing the system and the need for adaptive behaviours, human resource adaptability in particular, we discuss how the goal of ‘agent adaptation’ can be implemented. Specifically, we propose how agent behaviours can be added into/removed from/replaced in an agent skeleton, and, in this way, agent f...

This paper describes a multiagent approach that aims at supporting learners involved in a collective activity. We consider pedagogical situations where students have to explicitly define the articulation of their collective work and then achieve the different tasks they have defined. Our objective is to support these students by taking some of these tasks in charge whilst making them work out s...

Although much attention has been devoted to modeling and using context in intelligent agents, relatively little has been given to the problem for multiagent systems (MASs). Yet, just as with an individual agent, context affects how a MAS should behave. In this paper, we discuss an approach to distributed context management for multiagent systems. The approach is based on earlier work on context...

The technology of intelligent agents and multi-agent systems seems set to radically alter the way in which complex, distributed, open systems are conceptualized and implemented. The purpose of this paper is to consider the problem of building a multi-agent system as a software engineering enterprise. The article focuses on three issues: (i) how agents might be specified; (ii) how these specific...