Multi-Agent Based Simulation (MABS) is concerned with the utilisation of agent based technology for the purpose of running simulations of real world scenarios. The challenge is in encoding the agents so that they operate as realistically as possible. The work described in this paper is directed at the mining of movement information from video data which can then be used to encode the operation ...

This paper is devoted to preference-based recommendation or configuration in the context of multiagent (or multicriteria) decision making. More precisely, we study the use of decomposable utility functions in the search for Choquet-optimal solutions on combinatorial domains. We consider problems where the alternatives (feasible solutions) are represented as elements of a product set of finite d...

In this paper, I present my ongoing research on agent-based negotiation teams. An agent-based negotiation team is a group of two or more agents with their own and possibly conflicting goals that join together as a single negotiation party because they share a common goal that is related to the negotiation. Our research goal is to provide agent-based solutions for problems which may need negotia...

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...