Michel Occello

Designing Organized Agents for Cooperation with Real Time Constaints

The aim of this paper is to present our approach for designing Multi-Agent Systems in the context of collective robotics and more generally in the context of real time distributed artificial intelligence applications. The paper presents an agent model (ASTRO) especially adapted to a real time context and shows how the cooperation can be achieved with this model by integrating external organizations and interactions. A design methodology is introduced to build agents using social knowledge (interaction and organization). A platform is presented including software development tools supporting the approach.

A Multiagent Tool to Simulate Hybrid Real/Virtual Embedded Agent Societies

Decomposing a real world problem into a multiagent solution and implementing the corresponding embedded multiagent system are difficult tasks. Agent models must be degraded in respect with resource constraints (memory, CPU) and energomic constraints. These constraints introduce deviations at two levels: the embedded agent and the whole system. This paper introduces hardware/software hybrid simulation of multiagent systems where real physical and virtual simulated agents cohabit. It presents the MultiAgent Hardware Software Simulator (MASH) and a discussion about our experience in using this tool.

A Self-Organization Process for Communication Management in Embedded Multiagent Systems

This paper deals with a multiagent self-organization process aiming to give adaptive features to distributed embedded systems involving intelligent agents in open real world. We propose a formal description of this model of self-organization.

Building real time agents using parallel blackboards and its use for mobile robotics

Vehicle intelligent control is a robotics real time application where elaborated reasoning process and reactive process work together and have to cooperate or more to be interdependent. Multi-agent systems are well suited to such complex systems specification, because of their software engineering, their reasoning capabilities (from a cognitive point of view) or their performances (from a reactive point of view). This paper proposes a model of agent integrating both reactive and deliberative capabilities adapted to real time context. The paper introduces and discusses the use of a parallel blackboard architecture to support the agent model in order to meet real time constraints. An illustration of the functioning of the agent architecture is given through a roadway traffic scenario emphasizing the main aspects of real time distributed decision making.<<ETX>>

A self-organized energetic constraints based approach for modelling communication in wireless systems

Open physical artificial systems often involve wireless autonomous entities under high constrainted energetic policies. Their features naturally lead to apply multiagent techniques to ensure both the autonomy of entities and the best whole system organization. We propose a multiagent approach for wireless communication robust management for such physical systems using self-organization mechanisms.

A reactive multi-agents system as mobile robot controller

An onboard multi-agent system for mobile robots requires improvements in reactivity and real time efficiency. The authors present a real time computing model blackboard with specific features to guarantee satisfactory behavior of a low level robotic control. They detail a mobile robot controller to evaluate the improvement offered by such a system in a real application. They present simulation software based on an essential event and state concept.

Toward Self-adaptive Ecosystems of Services in Dynamic Environments

Dynamic composition of services enables users to use complex services with a minimal human intervention. Services that interact in highly dynamic physical world can not remain static, they must be continuously adapted to changes in their environment. Classical mechanisms of service composition are not suitable to implement the service adaptation in open and dynamic environments. We propose an approach based on Multiagent Systems to develop services ecosystems and face the challenge of service adaptation as a constraint satisfaction problem. In this paper, effects of service dispersion and density in the ecosystem are showed.

Using self-organization for functional integrity maintenance of wireless sensor networks

This paper deals with an application of multiagent self-organization techniques to intelligent sensor networks. We sketch a multiagent systems architecture according to the AEIO method for the EnvSys project. This multiagent system consists of self-organizing hybrid agents. We present interesting results in the last part showing the benefits of this approach compared to traditional ad-hoc protocol performances.

A recursive approach to enable the collective level interaction of the Web of Things applications

A Web of Things (WoT) system is composed of physical things and virtual objects which interact together to reach a set of goals. They communicate using Web standards and protocols. Interactions are complex because numerous heterogeneous objects interact together in open environments. It is interesting to consider a WoT subsystem as a single entity. The interaction between entities of two different WoT subsystems can then be treated as a one-to-one interaction. In this paper we present an approach which consists in transforming a many-to-many interaction problem into a one-to-one problem, using a recursive model.

Decentralized Intelligent Real World Embedded Systems: A Tool to Tune Design and Deployment

This paper presents an approach and a tool, called MASH, to design of real world decentralized intelligent systems. MASH enables the simulation of distributed systems including virtual and real world embedded nodes according to realistic physical models. We present the key features of this tool and its architecture.