1.
Dodig-Crnkovic, Gordana, 1955
(författare)
Cognitive Architectures Based on Natural Info-Computation
2022
Ingår i: Studies in Applied Philosophy, Epistemology and Rational Ethics. - Cham : Springer. - 2192-6255 .- 2192-6263. ; , s. 3-13, s. 3-13
Bokkapitel (refereegranskat) abstract
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.
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4.
Dodig-Crnkovic, Gordana, 1955
(författare)
On the Foundations of Computing. Computing as the Fourth Great Domain of Science
2023
Ingår i: Global Philosophy. - 2948-152X .- 2948-1538. ; 33:16
Tidskriftsartikel (refereegranskat) abstract
This review essay analyzes the book by Giuseppe Primiero, On the foundations of computing. Oxford: Oxford University Press (ISBN 978-0-19-883564-6/hbk; 978-0-19-883565-3/pbk). xix, 296 p. (2020). It gives a critical view from the perspective of physical computing as a foundation of computing and argues that the neglected pillar of material computation (Stepney) should be brought centerstage and computing recognized as the fourth great domain of science (Denning).
5.
Dodig-Crnkovic, Gordana, 1955
(författare)
Significance of models of computation, from Turing model to natural computation
2011
Ingår i: Minds and Machines. - DORDRECHT : Springer Science and Business Media LLC. - 0924-6495 .- 1572-8641. ; 21:2, s. 301-322
Tidskriftsartikel (refereegranskat) abstract
The increased interactivity and connectivity of computational devices along with the spreading of computational tools and computational thinking across the fields, has changed our understanding of the nature of computing. In the course of this development computing models have been extended from the initial abstract symbol manipulating mechanisms of stand-alone, discrete sequential machines, to the models of natural computing in the physical world, generally concurrent asynchronous processes capable of modelling living systems, their informational structures and dynamics on both symbolic and sub-symbolic information processing levels. Present account of models of computation highlights several topics of importance for the development of new understanding of computing and its role: natural computation and the relationship between the model and physical implementation, interactivity as fundamental for computational modelling of concurrent information processing systems such as living organisms and their networks, and the new developments in logic needed to support this generalized framework. Computing understood as information processing is closely related to natural sciences; it helps us recognize connections between sciences, and provides a unified approach for modeling and simulating of both living and non-living systems. © Springer Science+Business Media B.V. 2011.
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Dodig Crnkovic, Gordana, 1955
(författare)
Natural Computation of Cognition, from single cells up
2022
Ingår i: Unconventional Computing, Arts, Philosophy. - Singapore : WORLD SCIENTIFIC. - 9789811257162 - 9789811257148 - 9789811257155 ; , s. 57-78
Bokkapitel (övrigt vetenskapligt/konstnärligt) abstract
At the time when the first models of cognitive architectures have been proposed, some forty years ago, the understanding of cognition, embodiment, and evolution was substantially different from today. 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 the 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.
8.
Burgin, Mark, et al.
(författare)
Prolegomena to an operator theory of computation
2020
Ingår i: Information (Switzerland). - : MDPI AG. - 2078-2489. ; 11:11
Tidskriftsartikel (refereegranskat) abstract
Defining computation as information processing (information dynamics) with information as a relational property of data structures (the difference in one system that makes a difference in another system) makes it very suitable to use operator formulation, with similarities to category theory. The concept of the operator is exceedingly important in many knowledge areas as a tool of theoretical studies and practical applications. Here we introduce the operator theory of computing, opening new opportunities for the exploration of computing devices, processes, and their networks.
9.
Dodig Crnkovic, Gordana, 1955
(författare)
Morphological Computation as Natural Ecosystem Service for Intelligent Technology
2022
Ingår i: Proceedings (MDPI). - Basel Switzerland : MDPI. - 2504-3900. ; 81:1, s. 125-128
Konferensbidrag (refereegranskat) abstract
The basic idea of natural computing is learning from nature. The naturalist framework provides an info-computational architecture for cognizing agents, modeling living organisms as informational structures with computational dynamics. Intrinsic natural information processes can be used as natural ecosystem services to perform resource-efficient computation, instead of explicitly controlling every step of the computational process. In robotics, morphological computing is using inherent material properties to produce behavior like passive walking or grasping. In general, morphology (structure, shape, form, material) is self-organizing into dynamic structures resulting in growth, development, and decision-making that represent processes of embodied cognition and constitute the naturalized basis of intelligent behavior.
10.
Dodig-Crnkovic, Gordana, 1955
(författare)
Cognition as Morphological/Morphogenetic Embodied Computation In Vivo
2022
Ingår i: Entropy. - : MDPI AG. - 1099-4300. ; 24
Tidskriftsartikel (refereegranskat) abstract
Cognition, historically considered uniquely human capacity, has been recently found to be the ability of all living organisms, from single cells and up. This study approaches cognition from an info-computational stance, in which structures in nature are seen as information, and processes (information dynamics) are seen as computation, from the perspective of a cognizing agent. Cognition is understood as a network of concurrent morphological/morphogenetic computations unfolding as a result of self-assembly, self-organization, and autopoiesis of physical, chemical, and biological agents. The present-day human-centric view of cognition still prevailing in major encyclopedias has a variety of open problems. This article considers recent research about morphological computation, morphogenesis, agency, basal cognition, extended evolutionary synthesis, free energy principle, cognition as Bayesian learning, active inference, and related topics, offering new theoretical and practical perspectives on problems inherent to the old computationalist cognitive models which were based on abstract symbol processing, and unaware of actual physical constraints and affordances of the embodiment of cognizing agents. A better understanding of cognition is centrally important for future artificial intelligence, robotics, medicine, and related fields.
