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 …

Compositionality can be considered as finding (or creating) the correct meaning of the
constituents of a non-simple language expression or visual image. The Causal Cognitive …

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 …

The Causal Cognitive Architecture is a brain-inspired cognitive architecture developed from
the hypothesis that the navigation circuits in the ancestors of mammals duplicated to …

Abstract The Causal Cognitive Architecture 5, a brain inspired cognitive architecture, is
presented. The navigation map which holds features, procedures, and linkages in its …

Principles and methods in artificial intelligence applied to the research, diagnosis, and
treatment of schizophrenia and related disorders are reviewed from the 1980s to 2020 …

Abstract The Causal Cognitive Architecture 3 is a biologically inspired cognitive architecture
based heavily on navigation maps—arrays holding spatial navigation information about the …

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 …