Advances in deep learning over the last decade have led to a flurry of research in the
application of deep artificial neural networks to robotic systems, with at least 30 papers …

ACT‐R is a hybrid cognitive architecture. It is comprised of a set of programmable
information processing mechanisms that can be used to predict and explain human …

In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …

In recent years broad community of researchers has emerged, focusing on the original
ambitious goals of the AI field–the creation and study of software or hardware systems with …

Brain photobiomodulation (PBM) therapy using red to near-infrared (NIR) light is an
innovative treatment for a wide range of neurological and psychological conditions. Red/NIR …

For decision-making and behavior dynamics in humans, the principal focus is on cognition.
Cognition can be described using cognitive behavior, which has multiple states. This …

<? Pub Dtl=""?> We describe a cognitive architecture learning intelligent distribution agent
(LIDA) that affords attention, action selection and human-like learning intended for use in …

Artificial general intelligence (AGI) is AI that can reason across a wide range of domains. It
has long been considered the “grand dream” or “holy grail” of AI. It also poses major issues …

A lack of corpora has so far limited advances in integrating human gaze data as a
supervisory signal in neural attention mechanisms for natural language processing (NLP) …

The field of cognitive dynamic systems (CDSs) is an emerging area of research, whereby
engineering learns from neuroscience. Under this framework, engineering systems are …