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Cognitive Architectures Based on Natural Info-Computation



Publication Type:

Book chapter


Philosophy and Theory of Artificial Intelligence 2021






At the time when the first models of cognitive architectures have been proposed, some forty years ago, understanding of cognition, embodiment and evolution was substantially different from today’s. So was the state of the art of information physics, information chemistry, bioinformatics, neuroinformatics, computational neuroscience, complexity theory, self-organization, theory of evolution, as well as the basic concepts of information and computation. Novel developments support a constructive interdisciplinary framework for cognitive architectures based on natural morphological computing, where interactions between constituents at different levels of organization of matter-energy and their corresponding time-dependent dynamics, lead to complexification of agency and increased cognitive capacities of living organisms that unfold through evolution. Proposed info-computational framework for naturalizing cognition considers present updates (generalizations) of the concepts of information, computation, cognition, and evolution in order to attain an alignment with the current state of the art in corresponding research fields. Some important open questions are suggested for future research with implications for further development of cognitive and intelligent technologies.


author = {Gordana Dodig-Crnkovic},
title = {Cognitive Architectures Based on Natural Info-Computation},
isbn = {978-3-031-09152-0},
note = {{\_}1},
editor = {Vincent C. M{\"u}ller},
volume = {63},
pages = {3--13},
month = {December},
year = {2022},
booktitle = {Philosophy and Theory of Artificial Intelligence 2021},
publisher = {Springer},
url = {}