Denis Payet

Environment as support for simplification, reuse and integration of processes in spatial MAS

The development of solutions to complex problems requires finding answers to several questions which are obstacles on the road leading to the solution. To perpetuate progress, the possibility to reuse and integrate these intermediate answers in the other constructions of complex solution becomes a requirement In this article we consider the context of spatial multi-agent systems and we propose a modeling method that allows to structure models in order to make their components autonomous and, thus, to allow their reuses and their integrations in the design of future models. This method is based on the definition of a principle that permits to differentiate the model components, and, on the use of the environment (which is the location in which agents evolve) as the coupling element of these components

An Ontology for Observation of Multiagent Based Simulation

In multiagent based simulation (MABS), the observation of simulation results is a complex task: interactions between simulation agents produce a large mass of simulation results, which is particularly complex to analyze. We are assured that the use of another second multiagent system is a suitable approach to achieve this task. This second system then introduces a new category of agents called observation agents. The first step to build this multiagent system for observation is to define a specification of concepts used between its observation agents. Our contribution is an ontology for observation of MABS. This ontology is composed of a set of concepts and relations usable to acquire and process simulation results, and to produce their presentation form. This ontology has three main root classes: observation elements, processing, and presentation

Ordonnancement parallèle de simulations orientées agent Une approche basée sur l'analyse des dépendances temporelles des influences et perceptions.

Representation of temporal concepts impacts simulation models and their execution performances. Large-Scale Agent-based Simulations require resources that can be mainly found in distributed systems. We propose to extend our work on the Temporality model used to represent temporal concepts in our platform GEAMAS-NG. This enables us to parallelize simulation execution on a plaforms network while warrantying causality between simulated events.

Steps Towards a Balance between Adequacy and Time Optimization in Agent-based Simulations - A Practical Application of the Temporality Model Time Scheduling Approach.

Simulation models are often used as decision support tools. They intend to imitate real world complex phenomena or processes. For this purpose, simulation platforms has the simulated models evolve by advancing a virtual time. Thus, users could benefit from shorter, but relevant simulations. The simulated time is managed by the scheduler and how this is done could significantly impact on the performance of the simulation platform. However, conventional time scheduling approaches are still limited in some situations. The temporality model approach was proposed as an interesting solution. It addresses a number of criteria that the classical time scheduling approaches do not fulfil. In this paper, we first describe the fundamental of the temporality model approach. Then, we implement it in a simulation model called the SKUADCityModel. Finally, we show the performance advantages of this type of approach.

An Agentified Use of the Internet of Things

The massive use of connected objects and the development of the Internet of Things leads us to ask questions about the way of use and the intelligence of these objects. First, we will present the main lines of Internet of Things research related to the intelligence. Then, we will highlight some situations showing the boundaries of the different axes of research and present the advantage of using the software agent paradigm. Finally, we will propose our vision of a smart use of connected objects by merging with the concept of software agents to directly expose the functionalities and capacities of the objects through software agents in purpose to be more accountable to the sustainable development.

Methodology for a new agent architecture based on the MVC pattern

In the last few years, the multiagent systems paradigm has been more and more used in various fields, specially in the simulation field (MAS). Whenever a new application came into being and has been validated by its review board, specialists usually want to reuse it, fully or partially, in order to cut down the time and price of developing similar application. But this reuse is not as simple as expected. In a previous article, we proposed the DOM modeling to tackle modeling difficulties which arise in a complex system. However this solution has its limits as we will develop here. In this paper, we define a more complete agent modeling, based on the MVC design pattern, in order to to push back these limits.