Cognitive Architectures Based on Natural Info-Computation
Book chapter, 2022

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.

Extended evolutionary synthesis

Natural information

Natural computation

Naturalized cognition

Basal cognition

Cognitive architectures

Cognitive evolution

Author

Gordana Dodig Crnkovic

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Mälardalens högskola

Studies in Applied Philosophy, Epistemology and Rational Ethics

21926255 (ISSN) 21926263 (eISSN)

Vol. 63 3-13

Subject Categories

Interaction Technologies

Information Science

Information Systemes, Social aspects

DOI

10.1007/978-3-031-09153-7_1

More information

Latest update

7/12/2024