Organização social e normativa de um sistema multiagente para alocação de vagas em um estacionamento inteligente

Abstract

The development of multi-agent systems collaborate to create intelligent systems that aim to optimize human activities. This concept is applied to intelligent parking, which use the technology in parking lots to improve the use of parking by drivers. This work is part of the MAPS project developed at UTFPR. It aims to develop an extended SMA of MAPS with a normative system, which aims to send vacancies to the drivers who collaborate with the system. The tool used to implement the normative system is MOISE, which integrates with Jason and CArtAgO through the JaCaMo platform. The developed system is called MAPS-NORMS, which controls the operation of the parking lot and determines some actions as mandatory to organize the actions of the drivers. It was implemented artifacts to represent the vacancies and changes in the agents, these modifications contributed to the development of the normative system. Three levels of restriction and four behaviors that driver agents can assume have been implemented and tested.Although the complexity has increased the SMA has become more robust and flexible.