Requirements for Supporting Individual Human Creativity in the Design Domain

International audienceCreativity is an important activity in many professional and leisure domains. This article presents a first step towards a system which will provide a set of tools for enhancing the individual creative abilities of the user in a design task. We have identified aspects which are characterise individual creativity: motivation, domain knowledge, externalization, inspiration and analogies, and requirements handling. Based on these aspects we have defined requirements and suggest associated system functionalities

CLIC: An Agent-Based Interactive and Autonomous Piece of Art

International audienceThis work consists of integrating programming paradigms such as multi-agent systems and rule-based reasoning into a multimedia creation and display platform for interactive artistic creation. It has been developed in order to allow artists to build dynamic and interactive exhibitions based on pictures and sounds and featuring self-evolving and autonomous configurations

Evaluation of Multi-Agent Systems: The case of Interaction

International audienceThis paper deals with the evaluation of Multi-Agent Systems (MAS) at the level of their interaction. Two problems that may be a bias in the evaluation and measurement of interaction are discussed. The first one is the difference between the quantities of information carried by a unit of interaction in two systems having different architectures. The second one concerns the interaction units that are received and cannot be exploited by the agent. In this work, an evaluation based on the weight of the information brought by an interaction is suggested. In order to achieve this, a MAS model, on which the evaluation is based, is defined. Then, the different problems and solutions which will help to evaluate the interaction are studied. Finally, the approach is applied on two different implementations that solve the same problem

Organisation, agrégation et visualisation d'informations médiatiques

International audienceThis article presents some data processing technics for GEOMEDIA, a platform for visualization and analysis of media information. In order to handle the complexity and the large amount of media data, we proceed in three stages. (1) Organization of the information flow in order to extract its global structure: Three dimensions (Agents x Dates x Themes) are settled for data classifying. We use the concept of " agent " , originated from Artificial Intelligence, in order to generalize the concept of " space ". (2) Aggregation of information in order to obtain a macroscopic point of view: Aggregation processes automatically decrease the structural complexity of data. Thus, they generate high-level abstractions. (3) Visualization of aggregated data: spatial projections on geometric, territorial or reticular spaces, temporal projections on timelines, thematic projections on tag clouds, etc.Cet article présente une méthode de traitement de données pour GEOMEDIA, une plateforme de visualisation et d'analyse d'informations médiatiques. Devant la complexité et la quantité des données médiatiques, nous avons trois objectifs. (1) Organisation du déluge d'informations pour en extraire la structure générale : trois dimensions (Agents × Dates × Thèmes) sont retenues pour classer les articles. Nous utilisons la notion d'« agent », issue de l'Intelligence Artificielle, pour généraliser la notion d'« espace ». (2) Agrégation de l'information pour obtenir un point de vue macroscopique sur la structure de données : des procédures automatiques d'agrégation réduisent la complexité structurelle et engendrent ainsi des abstractions de haut-niveaux. (3) Visualisation des données agrégées : projections spatiales sur des cartes géométriques, territoriales ou réticulaires, projections temporelles sur des frises chronologiques, projections thématiques sur des nuages sémantiques, etc

How to Build the Best Macroscopic Description of your Multi-agent System? Application to News Analysis of International Relations

The design and debugging of large-scale MAS require abstraction tools in order to work at a macroscopic level of description. Agent aggregation provides such abstractions by reducing the microscopic description complexity. Since it leads to an information loss, such a key process may be extremely harmful if poorly executed. This research report presents measures inherited from information theory (Kullback-Leibler divergence and Shannon entropy) to evaluate ab- stractions and to provide the experts with feedbacks regarding the generated descriptions. Several evaluation techniques are applied to the spatial aggregation of an agent-based model of international rela- tions. The information from on-line newspapers constitutes a complex microscopic description of agent states. Our approach is able to evalu- ate geographical abstractions used by experts and to deliver them with e cient and meaningful macroscopic descriptions of the world state

A Formal Notion of Objective Expectations in the Context of Multiagent systems Routines

Online edition of New Trends in Artificial Intelligence (ISBN: 978-972-96895-4-3) - Chapter 9: MASTA - Multi-Agent Systems: Theory and ApplicationsInternational audienceThis paper introduces an objective notion of routine expectation, to allow for the external account of expectations in the context of routine procedures, in multiagent systems (MAS). The notion of expectation as usually applied to MAS is briefly reviewed. A formalization of routine procedure is given, so that the formal notion of routine expectation can be defined with respect to actions and facts. A view previously proposed in the literature, to base expectation values on a combination of probability values and utility values, is adopted. However, it is adapted to the context of repetitive, periodic system routines, where utility values can be replaced by the degrees of perfection with which actions and facts are realized

Advances on Practical Applications of Agents and Multiagent Systems

9th International Conference on Practical Applications of Agents and Multiagent Systems, PAAMS 2011, Salamanca,Spain, 6-8 April 2011 (http://www.paams.net/paams2011/) - Proceedings: http://link.springer.com/book/10.1007%2F978-3-642-19875-5International audienceno abstrac

Evaluating Trace Aggregation Through Entropy Measures for Optimal Performance Visualization of Large Distributed Systems

Large-scale distributed high-performance applications are involving an ever-increasing number of threads to explore the extreme concurrency of today's systems. The performance analysis through visualization techniques usually su ers severe semantic limitations due, from one side, to the size of parallel applications, from another side, to the challenges to visualize large-scale traces. Most of performance visualization tools rely therefore on data aggregation in order to be able to scale. Even if this technique is frequently used, to the best of our knowledge, there has not been any real attempt to evaluate the quality of aggregated data for visualization. This paper presents an approach which lls this gap. We propose to build optimized macroscopic visualizations using measures inherited from information theory, and in particular the Kullback-Leibler divergence. These measures are used to estimate the complexity reduced and the information lost during any given data aggregation. We rst illustrate the applicability of our approach by exploiting these two measures in the analysis of work stealing traces using squari ed treemaps. We then report the e ective scalability of our approach by visualizing known anomalies in a synthetic trace le with the behavior of one million processes, with encouraging results

How to Build the Best Macroscopic Description of your Multi-agent System? Application to News Analysis of International Relations

The design and debugging of large-scale MAS require abstraction tools in order to work at a macroscopic level of description. Agent aggregation provides such abstractions by reducing the microscopic description complexity. Since it leads to an information loss, such a key process may be extremely harmful if poorly executed. This research report presents measures inherited from information theory (Kullback-Leibler divergence and Shannon entropy) to evaluate ab- stractions and to provide the experts with feedbacks regarding the generated descriptions. Several evaluation techniques are applied to the spatial aggregation of an agent-based model of international rela- tions. The information from on-line newspapers constitutes a complex microscopic description of agent states. Our approach is able to evalu- ate geographical abstractions used by experts and to deliver them with e cient and meaningful macroscopic descriptions of the world state