In this paper we propose a cognitive architecture for the modelling of automatic and deliberate human behaviour as it occurs and evolves in a living environment or in interaction with machine interfaces. Such a cognitive architecture supports the timed modelling of an environment featuring a spatial topology and consisting of an arbitrary number of systems, interfaces and human components. Alternative models of short-term memory can be considered and explored, and long-term memory evolves throughout the time by exploiting experiences and mimicking the creation of expectations as part of mental modelling.
CITATION STYLE
Cerone, A. (2018). Towards a cognitive architecture for the formal analysis of human behaviour and learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11176 LNCS, pp. 216–232). Springer Verlag. https://doi.org/10.1007/978-3-030-04771-9_17
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