Frédéric Amblard

Toulouse 1 Capitole University | UT1 · Faculty of Information Technology

A new cooperation-based metaheuristic is proposed for searching gobal optima of functions. It is based on the assumption that the dynamics of the objective function does not change significantly between iterations. It relies on a local search process coupled with a cooperative semi-local search process. Its performances are compared against four ot...

Adaptive Multi-Agent Systems (AMAS) transform dynamic problems into problems of local cooperation between agents. We present smapy, an ensemble based AMAS implementation for mobility prediction, whose agents are provided with machine learning models in addition to their cooperation rules. With a detailed methodology, we propose a framework to trans...

Adaptive Multi-Agent Systems (AMAS) transform dynamic problems into problems of local cooperation between agents. We present smapy, an ensemble based AMAS implementation for mobility prediction, whose agents are provided with machine learning models in addition to their cooperation rules. With a detailed methodology, we propose a framework to trans...

Self-Adaptive Multi-Agent Systems (AMAS) transform machine learning problems into problems of local cooperation between agents. We present smapy, an ensemble based AMAS implementation for mobility prediction, whose agents are provided with machine learning models in addition to their cooperation rules. With a detailed methodology, we show that it i...

Traffic simulation is a tool used by urban planners to assess the impact of new urban designs and public policies on mobility. Over the years, numerous traffic models have been proposed, each model offering different levels of details and performances. Multi-level model coupling is an interesting approach to combine the advantages of complementary...

The purpose of this paper is to build an agent-based model which is adapted to study the information cascades in financial markets. Thus, we design and implement a model with asynchronous continuous-time management, populated by heterogeneous traders, connected by an interaction network with directed and weighted edges, which allows them to observe...

Chapuis, KevinTaillandier, PatrickGaudou, BenoitAmblard, FrricThiriot, SamuelIn recent years, the use of agent-based modeling to tackle complex societal issue has led to the massive use of data to better represent the targeted system. A key question in the development of such models is the definition of the initial population. If many tools and met...

The different approaches developed to analyze the structure of complex networks have generated a large number of studies. In the field of social networks at least, studies mainly address the detection and analysis of communities. In this paper, we challenge these approaches and focus on nodes that have meaningful local interactions able to identify...

The different approaches developed to analyse the structure of complex networks have generated a large number of studies. In the field of social networks at least, studies mainly address the detection and analysis of communities. In this article, we challenge these approaches and focus on nodes that have meaningful local interactions able to identi...

In recent years, the use of agent-based modeling to tackle complex societal issue has led to the massive use of data to better represent the targeted system. A key question in the development of such models is the definition of the initial population. If many tools and methods already exist to generate a synthetic population from global and sample...

We propose a method that allows to detect the subset of the sparse nodes in a complex network, providing supplementary informations about its structure and features. The aim is to produce a complementary approach to the classical ones dealing with dense communities, and in the end to develop mixed models of community classification which are articu...

In most agent-based social simulation models, the issue of the organisation of the agents’ population matters. The topology, in which agents interact, be it spatially structured or a social network, can have important impacts on the obtained results in social simulation. Unfortunately, the necessary data about the target system is often lacking; th...

Stock market is a complex system composed from heterogeneous traders with highly non-linear interactions from which emerge a phenomenon of speculative bubble. To understand the role of heterogeneous behaviors of traders and interactions between them in the emergence of bubbles, we propose an agent-based model of double auction market, with asynchro...

The notion of implicit (or explicit) collaborative information access refers to systems and practices allowing a group of users to unintentionally (respectively intentionally) seek, share and retrieve information to achieve similar (respectively shared) information-related goals. Despite an increasing adoption in social environments, collaboration...

Recently, there has been a shift from modeling driven approach to data driven approach in Agent Based Modeling and Simulation (ABMS). This trend towards the use of data-driven approaches in simulation aims at using more and more data available from the observation systems into simulation models [1, 2]. In a data driven approach, the empirical data...

Over the next decades, natural resources and water resources in particular are likely to be one of the major origins of social conflicts. To date however, no model enables the study of coupled dynamics of hydrology, water use and social conflicts. Building such a model requires identifying the key concepts, entities and processes that are present i...

The analysis of complex systems (CS) involves the use of different points of view so as to be able to understand the different aspects of the system’s entities, and to characterize their interactions. Modeling and simulating CS are activities where collaboration between researchers is the rule rather than the exception. Indeed, as a result of the c...

The economic returns of cluster policies have been recently called into question. Based on a “one size fits all” approach consisting in boosting R&D collaborations and reinforcing network density, cluster policies are suspected to have failed in reaching their objectives. The paper proposes to go back to the micro foundations of clusters in order t...

En entendant les termes « réseaux sociaux », vous penserez probablement à Facebook ou Twitter. Dans ce livre, ce terme est évidemment à comprendre autrement. Les animaux interagissent et communiquent notamment au sujet de la nourriture et de la reproduction. Dans un milieu écologique donné, les espèces tissent des liens de compétition, d’exclusion,...

Combinée à la modélisation, l’analyse des réseaux sociaux permet de mieux comprendre les effets de causalité entre différents facteurs et les mécanismes sous-jacents. Ces outils ont par exemple été utilisés avec succès pour décrire les dynamiques sociales de populations humaines, les mouvements collectifs dans les groupes animaux ou la structuratio...

NetLogo is a programming environment which allows for the construction and exploration of agent-based models. Developed at the Center for Connected Learning, the software currently draws from StarLogoT, which is available for Mac OSX, and StarLogo, which was developed at MIT’s Media Laboratory. It is the latter that has had the greatest influence o...

Ce chapitre va notamment aborder deux grandes façons de collaborer à plusieurs, autour d’un modèle de simulation :- faire interagir des utilisateurs/acteurs autour d’une simulation. Nous aborderons dans cette partie l’usage de simulation participative à base de jeux de rôle, ainsi que l’outil Hubnet de NetLogo qui permet de connecter plusieurs ordi...

The economic return of cluster policies has been recently called into question. Essentially based on a “one size fits all” approach consisting in boosting R&D collaborations and reinforcing network density in regions, cluster policies are suspected to have failed in reaching their objectives. The paper proposes to go back to the micro foundations o...

The book presents a peer-reviewed collection of papers presented during the 10th issue of the Artificial Economics conference, addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues. The field of artificial economics covers a broad range of methodo...

NetLogo is a programming environment which allows for the construction and exploration of agent-based models. Developed at the Center for Connected Learning, the software currently draws from StarLogoT, which is available for Mac OSX, and StarLogo, which was developed at MIT's Media Laboratory. It is the latter that has had the greatest influence o...

Temporal community detection is the process of finding the relevant communities correspond- ing to each step of evolution of a network that changes along time. Community detection is one of the most popular topics in the field of network analysis. Since the seminal paper of Girvan and Newman (2002), hundreds of papers have been published on the to...

Proceedings of the Joint International Conference of the INFORMS GDN Section and the EURO Working Group on DSS

The MAELIA project is developing an agent-based modeling and simulation platform to study the environmental, economic and social impacts of various regulations regarding water use and water management in combination with climate change. It is applied to the case of the French Adour-Garonne Basin, which is the most concerned in France by water scarc...

Integrated environmental modeling approaches, especially the agent-based modeling one, are increasingly used in large-scale decision support systems. A major consequence of this trend is the manipulation and generation of huge amount of data in simulations, which must be efficiently managed. Furthermore, calibration and validation are also challeng...

GDN 2014 Special Focus: Group Decision Making and Web 3.0

Integrated environmental modelling approaches, especially agent-based modelling ones, are increasingly used in large-scale decision support systems. A major consequence of this trend is the manipulation and generation of a huge amount of data in simulations, which require to be efficiently managed. In this paper, we present a Combination Framework...

In real world scenarios, the formation of consensus is an self-organisation process by which actors have to make a joint assessment about a target subject being it a decision making problem or the formation of a collective opinion. In social simulation, models of opinion dynamics tackle the opinion formation phenomena. These models try to make an a...

We briefly present the main steps involved in designing and developing a platform for the numerical simulation of environmental and social impacts of the implementation of new environmental norms related to low-water management in France (MAELIA Project: multi-agents for environmental norms impact assessment). Some results are highlighted concernin...

We briefly present the main steps involved in designing and developing a platform for the numerical simulation of environmental and social impacts of the implementation of new environmental norms related to low-water management in France (MAELIA Project: multi-agents for environmental norms impact assessment). Some results are highlighted concernin...

The MAELIA project is developing an agent-based modeling and simulation platform to study the environmental, economic and social impacts of various regulations regarding water use and water management in combination with climate change. It is applied to the case of the French Adour-Garonne Basin , which is the most concerned in France by water scar...

Why Read This Chapter? To learn about interaction topologies for agents, from social networks to structures representing geographical space, and the main questions and options an agent-based modeller has to face when developing and initialising a model. Abstract In most agent-based social simulation models, the issue of the organisation of the agen...

Meadows and Cliff (2012) failed to replicate the results of Deffuant et al. (2002) and concluded that our paper was wrong. In this note, we show that the conclusions of Meadows and Cliff are due to a wrong computation of indicator y, which was not fully specified in our 2002 paper. In particular, Meadows and Cliff compute indicator y before model c...

Integrated environmental modeling in general and specifically Multi-agent-based modeling and simulation approach are increasingly used in decision-support systems with, as a major consequence, to manipulate and generate a huge amount of data for their functioning (parametrization, use of real data in the simulation, ...). Therefore there is a need...

Integrated environmental modeling in general and specifically Multi-agent-based modeling and simulation approach are increasingly used in decision-support systems with, as a major consequence, to manipulate and generate a huge amount of data for their functioning (parametrization, use of real data in the simulation, ...). Therefore there is a need...

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Workshop on Multi-Agent-Based Simulation, MABS 2012, held in Valencia, Spain, in June 2012. The 11 revised full papers presented were carefully selected from 35 submissions. The papers are organized in topical sections on modeling social interactions...

In this paper, we present a new solution for trend detection in user-generated content, and more particularly Web 2.0 social networks. Whereas some propositions have been published in this domain recently, we have chosen a new approach based on network analysis. We first create an evolving network of terms, which is an abstraction of the complete n...

In most online social networks, with the increasing number of users and content, the problem of contact filtering becomes more and more present. The recent introduction of such features in online social networks -- for instance, Circles in Google+ or Facebook Smart lists -- shows that it is a problem they are confronted to. In this paper, we explor...

In this paper we approach the definition of new methodologies for the visualization and the exploration of social networks and their dynamics. We present a recently introduced formalism called TVG (for time-varying graphs), which was initially developed to model and analyze highly-dynamic and infrastructure-less communication networks, and TVG deri...

Community detection in social networks is a well-known problem encountered in many fields. Many traditional algorithms have been proposed to solve it, with recurrent problems: impossibility to deal with dynamic networks, sensitivity to noise, no detection of overlapping communities, exponential running time. This paper proposes a multi-agent system...

One of the most pressing and interesting actual scientific challenges deals with the analysis and the understanding of complex network dynamics. In particular, a major trend is the definition of new frameworks for the analysis, the exploration and the detection of the dynamics at play in real dynamic networks. In this paper, we focus in particular...

When living in a group, individuals have to make trade-offs, and compromise, in order to balance the advantages and disadvantages of group life. Strategies that enable individuals to achieve this typically affect inter-individual interactions resulting in nonrandom associations. Studying the patterns of this assortativity using social network analy...

Revue d'Intelligence Artificielle: http://ria.revuesonline.com/resnum.jsp?editionId=1447

Most instruments - formalisms, concepts, and metrics - for social networks analysis fail to capture their dynamics. Typical systems exhibit different scales of dynamics, ranging from the fine-grain dynamics of interactions (which recently led researchers to consider temporal versions of distance, connectivity, and related indicators), to the evolut...

One of the most interesting scientific challenges nowadays deals with the analysis and the understanding of complex networks' dynamics and how their processes lead to emergence according to the interactions among their components. In this paper we approach the definition of new methodologies for the visualization and the exploration of the dynamics...