Olivier Boissier

Developing organised multiagent systems using the MOISE + model: programming issues at the system and agent levels

Multiagent Systems (MASs) have evolved towards the specification of global constraints that heterogeneous and autonomous agents are supposed to follow when concerning open systems. A subset of these constraints is known as the MAS organisation. This article describes a set of computational tools that supports the development and the programming of such systems. At the system level, a middleware is provided which ensures that all agents will follow the organisational constraints. At the agent level, the AgentSpeak language is extended, using Jason features, so that the agents can perceive and act upon the organisation to which they belong.

A Model for the Structural, Functional, and Deontic Specification of Organizations in Multiagent Systems

A Multiagent System (MAS) that explicitly represents its organization normally focuses either on the functioning or the structure of this organization. However, addressing both aspects is a prolific approach when one wants to design or describe a MAS organization. The problem is to define these aspects in such a way that they can be both assembled in a single coherent specification. The MOISE+ model - described here through a soccer team example - intends to be a step in this direction since the organization is seen under three points of view: structural, functional, and deontic.

Instrumenting multi-agent organisations with organisational artifacts and agents

The social and organisational aspects of agency have led to a good amount of theoretical work in terms of formal models and theories. However, the conception and engineering of proper organisational infrastructures embodying such models and theories are still an open issue. The introduction of normative concerns with requirements of openness and adaptation stresses this issue. The corresponding mechanisms for the current infrastructures appear to be not appropriate for managing distributed and open normative organisations. There is still the need of proper abstractions and tools to facilitate application agents taking part in the monitoring of the organisation on one hand, and in the adaptation and definition of the organisation in which they are situated on the other hand. In this paper we present and discuss ORA4MAS (Organisational Artifacts for Multi-Agent Systems), a proposed approach aiming at these issues. Based on the Agents and Artifacts meta-model (A&A), it introduces organisational artifacts as first class entities to instrument the organisation for supporting agents activities within it.

S-Moise + : a middleware for developing organised multi-agent systems

The Multi-agent Systems (MAS) area, while concerning heterogeneous and open systems, has evolved towards the specification of global constraints that agents are supposed to follow. A subset of these constraints are known as organisation of the MAS. This paper describes a software implementation, called

MOISE+: towards a structural, functional, and deontic model for MAS organization

\mathcal{S-M}oise^{+}

MOISE: An Organizational Model for Multi-agent Systems

, that tries to fill the gap between the organisational constraints and the agents autonomy. This software ensures that all agents will follow the organisation without requiring that they are developed in a specific language or architecture.

Coordination, Organizations, Institutions, and Norms in Multi-Agent Systems

A Multi-Agent System (MAS) that represents explicitly its organization normally focuses either on the functioning or on the structure of this organization. However, addressing both aspects is a prolific approach when one wants to design or describe a MAS organization. The problem is to define these aspects in such a way that they can be both assembled in a single coherent specification. The MOISE+ model -- described here through a soccer team example -- intends to be a step in this direction since the organization is seen under three points of view: structural, functional, and deontic.

ASIC: An Architecture for Social and Individual Control and its Application to Computer Vision

This paper proposes an organizational model for a multiagent system. This model is based on three major concepts: the roles which constrain the individual behaviors of the agents, the organizational links that regulate the social exchanges between these agents and the groups which constrain the layout of agents involved in strong interactions. This model is illustrated throughout the exploration and the management of the administrative tasks of an educational master training with intelligent agent assistants.

Using the \mathcal{M}oise + for a Cooperative Framework of MAS Reorganisation

This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Agents, Norms and Institutions for Regulated Multiagent Systems, ANIREM 2005, and the International Workshop on Organizations in Multi-Agent Systems, OOOP 2005, held in Utrecht, The Netherlands in July 2005 as an associated event of AAMAS 2005. This volume is the first in a series focussing on issues in Coordination, Organizations, Institutions and Norms (COIN) in multi-agent systems. The 17 papers in this volume are extended, revised versions of the best papers presented at the ANIREM and the OOOP workshops at AAMAS 2005 that were carefully selected during two rounds of reviewing and improvement. The papers from the two workshops have been re-grouped around the following themes: modelling, analyzing and programming organizations, modelling and analyzing institutions, modelling normative designs, as well as evaluation and regulation.

Coordinating Agents in Organizations Using Social Commitments

Most of the work done until now in computational vision deals with the construction of independent visual processing methods that implement a specific subtask of the whole process. In this paper, we are proposing a control architecture, Asic, based on a multi-agent approach. It has been used to build the Mavi system which integrates different visual modules and makes them cooperate. We demonstrate its use to study local and global control in a vision system.