L. Correia

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Some methodological aspects of developing multi-agent systems are considered in this work. In particular, influence of analysis and design methodologies on the interoperability properties of multi-agent systems is investigated from the perspective of ontology-based meaning transfer. A combined approach to developing better multi-agent systems is proposed(More)
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)
— Remote operations in harsh environments, such as those found in the search & rescue and humanitarian demining domains, achieve better results when a strong interaction among users and robots is considered. In addition, robots should be disposable and robust, which can be achieved through parsimonious design. This paper presents a multi-agent system to(More)
Keywords: This paper reports progress from the EEII research project where ontological stratification is applied in the study of openness. We explain a stratification approach to reduce the overall complexity of conceptual models, and to enhance their modularity. A distinction is made between ontological and epistemological stratification. The application(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)
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)
In the field of appearance-based robot localization, the mainstream approach uses a quantized representation of local image features. An alternative strategy is the exploitation of raw feature descriptors, thus avoiding approximations due to quantization. In this work, the quantized and non-quantized representations are compared with respect to their(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)