Pierre Chevaillier

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This paper focuses on the simulation of behavior for autonomous entities in virtual environments. The behavior of these entities must determine their responses not only to external stimuli, but also with regard to internal states. We propose to describe such behavior using fuzzy cognitive maps (FCM), whereby these internal states might be explicitly(More)
The aim of this paper is to present the principles and results of case-based reasoning adaptated to real-time interactive simulations, more precisely concerning retrieval mechanisms. The article begins by introducing the constraints involved in interactive multiagent-based simulations. The second section presents a framework stemming from case-based(More)
This study concerns virtual environments for training in operational conditions. The principal developed idea is that these environments are heterogeneous and open multiagent systems. The MASCARET model is proposed to organize the interactions between agents and to give them reactive, cognitive and social abilities to simulate the physical and social(More)
oRis is a toolkit for interactive simulation : it is both an object-based concurrent programming language and an execution environment. Its features make oRis a generic platform for multiagent systems (MAS) implementation. It is a dynamically interpreted language, instance-grained which allows the user, during the execution, to observe the MAS, to interact(More)
This study concerns virtual environments for training in operational conditions. The principal developed idea is that these environments are heterogeneous and open multi-agent systems. The MASCARET model is proposed to organize the interactions between agents and to provide them reactive, cognitive and social abilities to simulate the physical and social(More)
This study concerns virtual environments for training in operational conditions. The principal developed idea is that these environments are heterogeneous and open multi-agent systems. The MASCARET model is proposed to organize the interactions between agents and to provide them reactive, cognitive and social abilities to simulate the physical and social(More)
This paper presents a method and its implementation for solving distributed and dynamic constraints satisfaction problem. In order to improve adaptability and performance, our algorithm is based on agents with autonomous behavior guided by metaphoric assumptions. Our approach can be distinguished by the following points: The metaphor turns on sociological(More)
This study concerns virtual environments for training in operational conditions. The principal developed idea is that these environments are heterogeneous and open multi-agent systems. The MASCARET model is proposed to organize the interactions between agents and to provide them reactive, cognitive and social abilities to simulate the physical and social(More)