In complex natural systems (such as ecological systems) it is common for those studying the macro-dynamics of systems to aim to describe, as simply as possible, the interactions between individuals occupying different niches in a system and to validate these by studying whether they account for the complex network of relationships observed in the actual system. We explore a similar principle ap...

This thesis presents a novel formal modelling language, complex event types (CET s), to describe behaviours in agent-based simulations. CET s are able to describe behaviours at any computationally represented level of abstraction. Behaviours can be specified both in terms of the state transition rules of the agent-based model that generate them and in terms of the state transition structures th...

We describe the strategy used by our agent, IAMhaggler, which finished in third place in the 2010 Automated Negotiating Agent Competition. It uses a concession strategy to determine the utility level at which to make offers. This concession strategy uses a principled approach which considers the offers made by the opponent. It then uses a Pareto-search algorithm combined with Bayesian learning ...

Although there is a huge amount of work and valuable proposals about agent oriented software engineering, it seems that the paradigm has not been fully accepted yet by software industry. Some claim that there is a need for a killer application showing the benefits of multi-agent systems with respect to other techniques without any doubt. Others may consider the approach as too academic to be ap...

Abstract. Interaction has been proved one of the main sources of complexity in Multi-Agent Systems (MAS) and many researches are working on techniques to palliate it. Furthermore, Organization modelling techniques lies on representing the groups of agents which are related by some kind of interaction. Current UML approaches represent these relationships as a set of binary links usually represen...

It has been shown that one can accommodate data (Bayes) and constraints (MaxEnt) in one method, the method of Maximum (relative) Entropy (ME) (Giffin 2007). In this paper we show a complex agent based example of inference with two different forms of information; moments and data. In this example, several agents each receive partial information about a system in the form of data. In addition, ea...

exercises, the automated pilots must act in a Abstract realistic manner, i.e., like trained human pilots. Otherwise, both the training and tactics The Soar-IFOR project is aimed at developing development in these environments will not be intelligent automated pilots for simulated tactical realistic. air-combat. One key requirement for an automated To act in a realistic manner, an automated pilo...

This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodology permits to engineer dynamic multi-level agent-based models, to represent complex systems over several scales and domains of interest. Its goal is to simulate a phenomenon using dynamically the lightest representatio...