A biologically inspired cognitive architecture is described which uses navigation maps (ie,
spatial locations of objects) as its main data elements. The navigation maps are also used to …

The binding problem is considered in terms of how a brain-inspired cognitive system can
recognize multiple sensory features from an object which may be among many objects …

Abstract The brain-inspired Causal Cognitive Architecture 1 (CCA1) tightly integrates the
sensory processing capabilities found in neural networks with many of the causal abilities …

In subsymbolic operation of the Meaningful-Based Cognitive Architecture (MBCA) the input
sensory vector is propagated through a hierarchy of Hopfield-like Network (HLN) functional …

The article identified 42 cognitive architectures for creating general artificial intelligence
(AGI) and proposed a set of interrelated functional blocks that an agent approaching AGI in …

Abstract In the Meaningful-Based Cognitive Architecture (MBCA), every evaluation cycle the
input sensory vector is propagated through a hierarchy of Hopfield-like Network (HLN) …

In this paper we consider a brain-inspired cognitive architecture approach to the
neurosymbolic gap. The difference in the abilities of artificial neural networks (eg, excellent …

As artificial intelligence (AI) advances emerge, they are often incorporated into the field of
medicine. However, the reverse of this process is an important one also—many of the …

Abstract In the Meaningful-Based Cognitive Architecture (MBCA) the input sensory vector is
propagated through a hierarchy of Hopfield-like Network (HLN) functional groups, including …