Abstract. Two key issues in building multi-agent systems concern their scalability and engineering open systems. We o er solutions to these potential problems by introducing a lifecycle for models of large multi-agent systems. Our proposal connects a model for the collective analysis of agent systems with an individual-based model. This approach leads on to a virtuous cycle in which individual ...

This paper presents a summary of the formal notions that introduce social groups and group exchanges in the PopulationOrganization model of multiagent systems.

Voting schemes are common social choice function that allow voters to aggregate their preferences in a socially desirable way. Unfortunately, the GibbardSatterthwaite theorem states that many of these schemes are susceptible to manipulation. Thus, a highly desirable quality, such that a scheme is resistant to manipulaion, is lacking in voting schemes. Since non-manipulability cannot be guarante...

— Virtual learning environments (VLEs) are used in distance learning and classroom teaching as teachers and students support tools in the teaching–learning process, where teachers can provide material, activities and assessments for students. However, this process is done in the same way for all the students, regardless of their differences in performance and behavior in the environment. The pu...

As in statistical physics, a model (EBM or ABM) that replaces individual interactions with system-level averages is a mean-field model (MFM). MFMs accept an unrealistic assumption of independence among key variables for improved tractability. In both physics and multi-agent systems, MFMs have limited accuracy [4, 5], but often give more concise insight than discrete models, and researchers ofte...

Recent literature in multiagent systems show a significant increase in interest and research on normative systems which are defined as (Boella, Torre, & Verhagen, 2008): A normative multiagent system is a multiagent system organized by means of mechanisms to represent, communicate, distribute, detect, create, modify, and enforce norms, and mechanisms to deliberate about norms and detect norm vi...

In this paper we present a multiagent system for landmark-based navigation in unknown environments. We propose a bidding mechanism to coordinate the actions requested by the different agents. The navigation system has been tested on a real robot on indoor unstructured environments.

This paper introduces some considerations about simulation practice and a schema of the models that are implicitly and explicitly involved in a Multi-Agent Based Simulation (MABS). The aim of this work is to set simulation inside scientific framework. In order to do that we give an interpretation of the levels that compound a simulation and that constitute different kinds of abstraction. A clea...