Titlebook: Biologically Inspired Cognitive Architectures 2018; Proceedings of the N Alexei V. Samsonovich Conference proceedings 2019 Springer Nature

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Meta-Engineering: A Methodology to Achieve Autopoiesis in Intelligent Systems,a-engineering (ME) theory. A self-producing AIS potentially displays the characteristics of artificial general intelligence (AGI). The architecture describes a meta-engineering system (MES) comprising many subsystems which serve to produce increasingly refined “software-production”-like processes ra

协迫

BICA ,rchitecture. Both strategies share the BICA method – a spectrum approach between animal cognitive architecture and AI. We focus on the BICA-Mary argument [.], which is a response to the classical ‘knowledge argument’ posed by Jackson, [.]. Philosophers tend to think that . cannot be learned by descr

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The Research of Distracting Factors Influence on Quality of Brain-Computer Interface Usage,ould be investigated before it can be used in a broader scale. For example, one should spent a lot of time on training, before he or she can achieve sufficient control accuracy through BCI. Moreover, when one is working with BCI, an important factor is distraction that can have a negative impact on

Muscularis

Metagraph Approach as a Data Model for Cognitive Architecture,nca” model is required for cognitive architecture description. We propose to use a metagraph model as a basic model. The key element of the metagraph model is metavertex which may include inner vertices and edges. From the general system theory point of view, a metavertex is a special case of the ma

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A Temporal-Causal Modeling Approach to the Dynamics of a Burnout and the Role of Physical Exercise, virtual patient agent model, and offers also possibilities to simulate certain forms of treatment. The model was evaluated by simulation experiments, verification by Mathematical Analysis and validation by Parameter Tuning for given patterns found in the literature.