Escalonamento e gerenciamento da produção em empresas virtuais (EV) usando agentes

O artigo tem como proposta aplicar os conceitos de extração de dados para aumentar o conhecimento sobre o custo do processo produtivo de Empresas Virtuais. Esta abordagem usa técnicas de IA, especialmente lógica fuzzy, “embutidas” em agentes estacionários para calcular o custo dos lotes de produção de acordo com as necessidades dos clientes. Assim os coordenadores das Empresas Virtuais (EV) têm uma ferramenta de auxilio nas tomadas de decisões, pois possuem uma previsão de custos e podem formular propostas de acordo com a capacidade real de produção.Eje: Ingeniería de Software y Bases de Datos (ISBD)Red de Universidades con Carreras en Informática (RedUNCI

Escalonamento e gerenciamento da produção em empresas virtuais (EV) usando agentes

O artigo tem como proposta aplicar os conceitos de extração de dados para aumentar o conhecimento sobre o custo do processo produtivo de Empresas Virtuais. Esta abordagem usa técnicas de IA, especialmente lógica fuzzy, “embutidas” em agentes estacionários para calcular o custo dos lotes de produção de acordo com as necessidades dos clientes. Assim os coordenadores das Empresas Virtuais (EV) têm uma ferramenta de auxilio nas tomadas de decisões, pois possuem uma previsão de custos e podem formular propostas de acordo com a capacidade real de produção.Eje: Ingeniería de Software y Bases de Datos (ISBD)Red de Universidades con Carreras en Informática (RedUNCI

Smart Distribution Power Systems Reconfiguration using a Novel Multi-agent Approach

The few past years have witnessed a huge leap in the field of the smart grid communication networks in which many theories are being developed, and many applications are being evolved to accommodate the implementation of the smart grid concepts. Distribution power systems are considered to be one of the first leading fields having the strong desire of applying the smart grid concepts; resulting in the emersion of the smart distribution power systems, which are the future visualization of the distribution systems having both the ability of smart acting, and the capabilities of automation, self-healing, and decentralized control. For the sake of the real implementation of the smart distribution power systems, the main functions performed by the traditional systems have to be performed by the new smart systems as well, taking into account the new features and properties of those smart systems. One of those main functions is the ability of power networks optimal reconfiguration to minimize the system’s power loss while preserving the system radial topology. The proposed reconfiguration methodology targets the utilization of a hybrid genetic algorithm with two fuzzy controllers that could converge to the global optimal network configuration with the fastest convergence rate consuming the least computational time. The first fuzzy controller is designed to reject any infeasible system configurations that might show up in the population of the genetic algorithm and violate the system radial topology, while the second fuzzy controller is designed to adapt the mutation rate of the genetic algorithm. Consequently, a novel multi-agent system is proposed and designed to perform the reconfiguration application in smart distribution power systems employing the concepts of distributed processing and decentralized control demanded by those systems. A multi-agent system employs a group of intelligent agents that have the capabilities of autonomy, reactivity, pro-activity, and sociality. Those agents cooperate with each other in order to perform a certain function through their powerful abilities to communicate, socialize, and make a common decision in a decentralized fashion based on the information retrieved from the surrounding environment and compiles with their ultimate objective

Agent Communication Languages for Information-Centric Agent Communities

As the complexity and application scope of agent-based systems increases, the requirements placed on Agent Communication Languages have also increased with it. Currently-available ACLs focus on agent-based systems in the domain of knowledge agents. Therefore, they lack certain facilities required to implement large, complex, and robust information-centric agent systems. These facilities are required for efficient information transfer, use of multimedia information, and data security. Furthermore, information-gathering agents tend to execute longrunning and/or complex tasks, and require ACL support for managing tasks and conversations. Lastly, information agents (and other types of agents) may require more flexible agent-level management and control, specifically in the areas of mobile resources and/or intermittentlyconnected users. In this paper we attempt to discuss the shortcomings of existing ACLs and provide specific solutions to address them. The proposed ACL architecture is based..

Agent communication languages for information-centric agent communities

As the complexity and application scope of agent-based systems increases, the requirements placed on Agent Communication Languages have also increased with it. Currently-available ACLs focus on agent-based systems in the domain of knowledge agents. Therefore, they lack certain facilities required to implement large, complex, and robust information-centric agent systems. These facilities are required for efficient information transfer, use of multimedia information, and data security. Furthermore, information-gathering agents tend to execute longrunning and/or complex tasks, and require ACL support for managing tasks and conversations. Lastly, information agents (and other types of agents) may require more flexible agent-level management and control, specifically in the areas of mobile resources and/or intermittentlyconnected users. In this paper we attempt to discuss the shortcomings of existing ACLs and provide specific solutions to address them. The proposed ACL architecture is based on issues that we have encountered with the InfoSleuth system at MCC and other related work. 1