Deployment of Industrial Agents in a Smart Parking System In recent years, the intense urbanization, and consequently the traffic congestion, has been a major concern of large cities. In this context, the development of smart parkings is a suitable solution to deal with this problem. However, the complexity and requirements imposed by such largescale systems are an obstacle to its easy implementation. In this sense, it is fundamental to adopt emergent ICT and Artificial Intelligence technologies that are capable to address the imposed requirements. MultiAgent Systems (MAS) is a suitable approach to face this challenge by providing modularity, flexibility, reconfigurability and fast response to condition change based on its decentralized nature. The use of such agentbased solutions to control physical assets, create novel systems entitled CyberPhysical Systems (CPS) where the interconnection between the cyber and the physical parts is a crucial issue. This paper focuses the interface between the software agents of a smart parking system with the physical control devices of the parking spots. For this purpose, different interface practices were implemented and tested, considering different interaction schemes and technologies. These alternative interface practices were analyzed taking into consideration the response time, scalability and reusability parameters.

Agentbased Plug and Produce CyberPhysical Production System xe2x80x93 Test Case In the last years the utilization of Multiagent Systems to implement distributed control systems in industrial environments was presented as suitable and as a costeffective solution to deal with the new requirements regarding flexibility and dynamism on the shopfloor. However, the proposed implementation of these distributed CyberPhysical Production Systems faced some challenges regarding hardware and network requirements. Hence, the proposed work presents one utilization of a Multiagentbased distributed control system running on the fog level and running upon the edge level. This research presents a test and assessment of running intelligent agents outside the edge level but at the same time avoid the deployment of the industrial agents on the cloud level due to time and performance constraints. The proposed test presents a Multiagent architecture responsible for controlling the shopfloor, but the overall architecture was designed to accommodate the agents on the fog level, running upon the edge level composed by industrial controllers running Device Profile Web Services.