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Artificial Cognitive Architecture. Design and Implementation

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Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities

Part of the book series: Springer Theses ((Springer Theses))

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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Author information

Authors and Affiliations

  1. Centre for Automation and Robotic (CAR-CSIC), Madrid, Spain

    Dr. Gerardo Beruvides

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  1. Dr. Gerardo Beruvides
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Correspondence to Gerardo Beruvides .

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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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