Abstract
In virtual agents modelling, perception has been one of main focus for cognitive modelling and multi-agent-based simulation. Research has been guided by the representation of human senses operations. In this sense, perception focus remains on the absorption of changes that occur in the environment. Unfortunately, scientific literature has not covered the representation of most of the perception mechanisms that are supposed to exist in an agent’s brain like for example ambiguity. In terms of multi-agent based systems, perception is reduced to a parameter forgetting the complex mechanisms behind it. The goal of this article is to point out that the challenge of modelling perception ought to be centred on the internal mechanisms of perception that occur in our brains, which increases the heterogeneity among agents.
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Magessi, N.T., Antunes, L. (2015). Modelling Agents’ Perception: Issues and Challenges in Multi-agents Based Systems. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds) Progress in Artificial Intelligence. EPIA 2015. Lecture Notes in Computer Science(), vol 9273. Springer, Cham. https://doi.org/10.1007/978-3-319-23485-4_69
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