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Detecting and diagnosing unwanted behavior in multiagent systems (MASs) are crucial to ascertain correct operation of agents. Current techniques assume a priori knowledge to identify unexpected behavior. However, generation of MAS models is both error-prone and time-consuming, as it exponentially increases with the number of agents and their interactions. In this paper, we describe a light-weight,...
Unmanned Aerial Vehicles (UAVs) are gaining the attention of researchers around the world. Recently researchers apply the multi-agent paradigm to such domain taking advantage of its research in cognition, deliberation, and mainly coordination mechanisms. The aim of our research is to contribute to the multiple quadcopter simulation area introducing a platform for the design, simulation, and development...
Small-scale Unmanned Aerial Vehicles (UAVs) are gaining the attention of researchers around the world, due to their versatility and performance in both indoor and outdoor applications. The whole project aims to specify and implement a symbiotic simulation platform to assist the design, development and testing of UAVs that use a quad-rotor configuration. Additionally, in this paper we firstly discuss...
Inter-modal interfaces are extremely important for the transportation system as a whole. Therefore, designing and dimensioning airport terminals' curbsides are a major step to improve passengers' experience. Indeed, evaluating such design is a critical task that must be performed to point out the best solution. This paper reports on our modelling, implementation, and evaluation of two curbside scenarios:...
Implementing and deploying a complete multi-agent system in whatever domain, especially those that are inherently complex and dynamic, is undoubtedly a very hard and time-consuming task. This paper analyzes the adequacy of traditional approaches in the field of Agent-Oriented Software Engineering to create adequate multi-agent systems applicable to the transportation domain. Our findings suggested...
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