Abstract
Nowadays, even though artificial cognitive architectures represent an emerging field of research, there are many constraints on the broad application of artificial cognitive control at an industrial level and very few systematic approaches truly inspired in biological processes, from the perspective of control engineering. One way to address the bio inspiration is the emulation of human socio-cognitive skills and to formalize this approach from the viewpoint of control engineering facing actual industrial problems.
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Beruvides, G. (2019). Artificial Cognitive Architecture. Design and Implementation. In: Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-03949-3_4
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