The focus of the journal is on the integration of many research efforts in addressing the challenge
of creating a real-life computational equivalent of the human mind. Therefore, the journal 
publishes on the multidisciplinary study of cognitive architectures found in vivo and in silico.

To help foster a wider understanding, at a computational level, of how natural intelligent systems 
develop their cognitive, metacognitive, and learning functions, the journal will promote the 
overarching goal of creating one unifying widespread framework for the computational modeling of 
biologically inspired cognitive architectures.

The scope includes (but is not limited to): Cognitive science, with a focus on higher cognitive 
functions and their cognitive architecture models: including autonomous cognition and metacognition,
imagery, sensemaking, meta-learning, self-regulated learning, life-long learning and cognitive 
growth, "critical mass" of a learner, models of creativity, affects, emotions and feelings, 
emotional competence, social cognition, the self, human-like episodic memory, language perception, 
processing, production, acquisition, and development; Computer science and engineering, with a 
focus on human-like artificial intelligence: cognitive architectures, virtual and physical 
cognitive robotics, synthetic characters, bootstrapped and human-like learning, human-computer 
interface, vision, computational linguistics, intelligent tutoring systems; Neuroscience, with a 
focus on higher cognition and learning: system-level computational neuroscience, cognitive 
neuroscience, models of the neural substrates of semantic and episodic memory and awareness, 
agency, emotions and feelings, theory of mind and social cognition, language, imagery, voluntary 
control, goal and value systems, spatial cognition, etc.

Contributions to the journal should include a cognitive architecture element and an element of 
biological inspiration, the latter understood broadly (e.g., inspiration by the human cognition). 
Both mature and new cutting edge research are welcomed, provided they have a strong emphasis on 
concrete empirical or theoretical studies. Submissions of a purely philosophical nature are 
discouraged and will be redirected elsewhere.

Editor in Chief:  Alexei Samsonovich