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The BDI architecture is one of the best known approaches for the development of agents situated in complex dynamic environments. Founded on the symbolic approach to AI, it is a consolidated model that builds upon substantial theoretical and practical contributions. However, there are aspects of the cognitive phenomena that require the representation of concepts to classify perceptual information in ways that have not been sufficiently explored in the BDI architecture. Taking into consideration that conceptual representations can, for example, improve object recognition processes, this paper addresses that problem, drawing from the theory of Conceptual Spaces. The paper also illustrates the viability of the proposed approach through the development of an application that aims to support visually impaired people. This application was developed using the Jason agent platform and the CSML language. |
