Implementation of an Affective Model for MASOES

Different authors seek to improve the interactionbetween intelligent agents in multi-agent systems, an example isthe affective model of MASOES, which through the generationof emotions promotes different types of behaviors. Although thisaffective model has been formally verified at the design level,it has not been verified at the implementation level. This workpresents methodologically the implementation for the affectivemodel of MASOES on a multiagent system, verifying the requiredat the design level by this multiagent architecture, in order toprovide an environment for the interaction between the emotionalprocesses and the different functions of an agent. In addition, wepropose the calculation of Social Emotion, allowing to describethe collective emotional state of a group of emotional agents. &nbsp

SELF-ORGANIZATION AND EMERGENCE PHENOMENA IN WIKIPEDIA AND FREE SOFTWARE DEVELOPMENT USING MASOES

This work models Wikipedia and Free Software Development through a mul- tiagent architecture for self-organizing and emergent systems called MASOES without mathematically representing the system. In that sense, each component, mechanism and process of MASOES is instanced at individual and collective levels by the observed phenomena at the modeled systems. Thus, this paper proposes a methodology to show how to model real systems using MASOES, in order to study their self-organizing and emergent properties and, later on, to facilitate the verication of these properties, mechanisms, components and social interactions for promoting collaborative work and sharing individual and collective knowledge in these systems. Keywords : Multiagent systems, Self-Organization, Emergent Systems, Wikipedia, Free Software DevelopmentRESUMEN AUTO-ORGANIZACI 3N Y EMERGENCIA EN WIKIPEDIA Y EL DESARROLLO DEL SOFTWARE LIBRE A TRAV\uc9S DE MASOESEste trabajo modela el comportamiento de Wikipedia y el desarrollo de Software Libre, a trav\ue9s de una arquitectura multiagente para sistemas emergentes y auto- organizados llamada MASOES, sin especicar matem\ue1ticamente el sistema. En ese sentido, cada componente, mecanismo y proceso de MASOES se instancia a nivel individual y colectivo en cada uno de los sistemas modelados. As\ued, en este trabajo se propone una metodolog\ueda para mostrar como modelar sistemas reales utilizando MASOES, con el fin de estudiar sus propiedades emergentes y auto-organizadas, y posteriormente, facilitar la verificaci\uf3n de estas propiedades, mecanismos, componentes e interacciones sociales para promover el trabajo colaborativo y el intercambio del conocimiento individual y colectivo en estos sistemas. Palabras claves del autor: Sistemas Multiagente, Auto-Organizaci\uf3n, Sistemas Emergentes, Wikipedia, Desarrollo de Software Libre<br

Auto-organización y emergencia en Wikipedia y el desarrollo del software libre a través de Masoes

This work models Wikipedia and Free Software Development through a multiagent architecture for self-organizing and emergent systems called MASOES without mathematically representing the system. In that sense, each component, mechanism and process of MASOES is instanced at individual and collective levels by the observed phenomena at the modeled systems. Thus, this paper proposes a methodology to show how to model real systems using MASOES, in order to study their self-organizing and emergent properties and, later on, to facilitate the verification of these properties, mechanisms, components and social interactions for promoting collaborative work and sharing individual and collective knowledge in these systems.Este trabajo modela el comportamiento de Wikipedia y el desarrollo de Software Libre, a través de una arquitectura multiagente para sistemas emergentes y auto-organizados llamada MASOES, sin especificar matemáticamente el sistema. En ese sentido, cada componente, mecanismo y proceso de MASOES se instancia a nivel individual y colectivo en cada uno de los sistemas modelados. Así, en este trabajo se propone una metodología para mostrar como modelar sistemas reales utilizando MASOES, con el fin de estudiar sus propiedades emergentes y auto-organizadas, y posteriormente, facilitar la verificación de estas propiedades, mecanismos, componentes e interacciones sociales para promover el trabajo colaborativo y el intercambio del conocimiento individual y colectivo en estos sistemas

Assessing self-organization and emergence in Evolvable Assembly Systems (EAS)

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de ComputadoresThere is a growing interest from industry in the applications of distributed IT. Currently, most modern plants use distributed controllers either to control production processes, monitor them or both. Despite the efforts on the last years to improve the implementation of the new manufacturing paradigms, the industry is still mainly using traditional controllers. Now, more than ever, with an economic crisis the costumers are searching for cheap and customized products, which represents a great opportunity for the new paradigms to claim their space in the market. Most of the research on distributed manufacturing is regarding the control and communication infrastructure. They are key aspects for self-organization and there is a lack of study on the metrics that regulate the self-organization and autonomous response of modern production paradigms. This thesis presents a probabilistic framework that promotes self-organization on a multiagent system based on a new manufacturing concept, the Evolvable Assembly Systems/Evolvable Production Systems. A methodology is proposed to assess the impact of self-organization on the system behavior, by the application of the probabilistic framework that has the dual purpose of controlling and explaining the system dynamics. The probabilistic framework shows the likelihood of some resources being allocated to the production process. This information is constantly updated and exchanged by the agents that compose the system. The emergent effect of this self-organization dynamic is an even load balancing across the system without any centralized controller. The target systems of this work are therefore small systems with small production batches but with a high variability of production conditions and products. The agents that compose the system originated in the agent based architecture of the FP7-IDEAS proejct. This work has extended these agents and the outcome has been tested in the IDEAS demonstrators, as the changes have been incorporated in the latest version of the architecture, and in a simulation and more controlled environment were the proposed metric and its influence were assessed

A STRATEGIC SERIOUS GAME ADDRESSING SYSTEM OF SYSTEMS ENGINEERING

Serious Games are currently extending their capabilities to strategic Education and Training by innovative approaches and new technological solutions. In this paper, the authors propose a new Serious Game devoted to address such aspects with special focus on System of Systems Engineering (SoSE). The proposed case uses a challenging framework related to the development of an innovative System of Systems for defense and homeland security that could be used by users to acquire the fundamental concepts of SoSE. The scenario allows to investigate alternative interoperable solutions among different platforms, sensors, infrastructures and doctrines respect evolving threats in relation to an air defense solution based on airborne radars

Verification of the emergence in an architecture for multi-robot systems (AMEB)

This article analyzes the emerging behavior of a multi-robot system managed by an architecture structured in three layers: the first provides local support to the robot, manages its processes of action, perception and communication, as well as its behavioral aspect, which considers the reactive, cognitive and social aspects of the robot. In addition, it introduces an affective component that influences its behavior and the way it relates to the environment and to the other individuals in the system, based on an emotional model that takes into account fourArticle history:Received 12 September 2018Accepted 08 November 2018A Gil, pertenece al Laboratorio de Prototipos en la Universidad Nacional Experimental del Táchira y a Tepuy R+D Group. Artificial Intelligence Software Development. Mérida, Venezuela (email: [email protected])basic emotions. The second provides support to the collective processes of the system, based on the concept of emerging coordination. The latter is responsible for knowledge management and learning processes, both individually and collectively, in the system. In this article the metrics are defined to verify the emergency in the system, by means of the use of a method of verification of emergent behaviors based on Fuzzy Cognitive Maps