The paper focuses on the development of protocols for brokering-based agent communities in e-Business. The global market is driving e-Business to become service-centric, offering highly modular e-Services that can be flexibly and dynamically composed into rapidly deployable e-Businesses. This trend is giving rise to a new set of requirements of negotiation-based, autonomous, and intelligent com...

We have studied how leaders emerge in a group as a consequence of interactions among its members. We propose that leaders can emerge as a consequence of a self-organized process based on local rules of dyadic interactions among individuals. Flocks are an example of self-organized behaviour in a group and properties similar to those observed in flocks might also explain some of the dynamics and ...

The intrinsic complexity of self-organising multiagent systems calls for the use of formal methods to predict global system evolutions at early stages of the design process. In particular, we evaluate the use of simulations of high-level system models to analyse properties of a design, which can anticipate the detection of wrong design choices and the tuning of system parameters, so as to rapid...

The current work addresses a virtual environment with self-replicating agents whose decisions are based on a form of “somatic computation” (soma body) in which basic emotional responses, taken in parallelism to actual living organisms, are introduced as a way to provide the agents with greater reflexive abilities. The work provides a contribution to the field of Artificial Intelligence (AI) and...

By integrating theories and methodologies from a diverse range of scientific disciplines (e.g., physics, neuroscience, cognitive science, psychology and robotics engineering) the present work is aimed at harnessing self-organized anticipatory synchronization in order to advance humanrobotic interaction (HRI). This phenomenon is characterized by the emergence of anticipatory behavior by one syst...

We present a detailed study of the statistical properties of the Agent Based Model introduced in paper I [1] and of its generalization to the multiplicative dynamics. The aim of the model is to consider the minimal elements for the understanding of the origin of the Stylised Facts and their Self-Organization. The key elements are fundamentalist agents, chartist agents, herding dynamics and pric...

In this paper we present a system for agent-based support of clinical processes. We describe the basic engineering concept, along with specific simulation and testing scenarios for agent-based software engineering. Another important focus is the integration of existing agent or healthcare standards like FIPA, DICOM and HL7. Objectives of our research activities in this project are: a substantia...

The ambient intelligence scenario depicts electronic environments that are sensitive and responsive to the presence of people. The aims of this kind of system is not necessarily to provide some form of electronic service to its users, but also to enhance the everyday experience of people moving inside the related physical environment. For this second type of application, computer simulation rep...

One of the essential features of the agent-based financial models is to show how price dynamics is affected by the evolving microstructure. Empirical work on this microstructure dynamics is, however, built upon highly simplified and unrealistic behavioral models of financial agents. Using genetic programming as a rule-inference engine and self-organizing maps as a clustering machine, we are abl...

RESUME. Les pouvoirs publics de certaines grandes métropoles du Sud n’interviennent pas dans la gestion des transports en commun. En l’absence de centralisation, des solutions alternatives apparaissent. Elles fonctionnent sur la base de l’initiative individuelle. Autrement dit, des individus indépendants mettent en place des offres de transport collectif. Dans le cas de Brazzaville, le système ...