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The evaluation of pollutant levels is a key aspect on the issue of keeping a clean environment. Conventional techniques include the utilisation of a fixed setup incorporating pollutant sensors. However, these approaches are a very long way from an accurate monitoring. Thus, to improve pollutant monitoring on a power plant chimney, the use of robotic agent(More)
We present a model suited not only for the study of evolution of cooperation but also to study behaviours such as treason and exploitation. This game has multiple Pareto Optimal solutions, which causes shifts in the agent strategies that we can interpret as either treason or exploitation. This requires some form of coordination between agents to avoid(More)
Addresses the problem of autonomous underwater vehicle (AUV) control architectures. A particular approach is proposed in which the architecture is structured accordingly to the type of missions the vehicle should perform, with a strong emphasis on its reactive capabilities. A definition of nonconfigurable mission independent behaviours, common to all(More)
We address the problem of finding the correct agents to interact with from a general standpoint. We take the payoff obtained by agents in any game with dilemma as an input to our model. Its output is a probability distribution used in the partner selection that increasingly favours cooperative agents. Our approach contrasts with others designed for specific(More)
—To study cooperation evolution in populations, it is common to use games to model the individuals interactions. When these games are n n n-player it might be difficult to assign defection responsibility to any particular individual. In this paper the authors present an agent based model where each agent maintains reputation information of other agents.(More)
We develop a dynamic Bayesian beta model for modeling and forecasting single time series of proportions. This work is related to the class of the so called dynamic generalized linear models (DGLM). We use non-conjugate priors and some forms of approximate Bayesian analysis, including Linear Bayesian estimation. Some applications to both real and simulated(More)
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