Knowledge, Representation and the Dynamics of Computation

Leeuwen, Jan van; Wiedermann, Jiřı́

doi:10.1007/978-3-319-43784-2_5

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…A broader understanding of computation that includes dynamical systems solves this apparent contradiction. For the arguments from the theory of computation, see [ 105 , 106 ]. The free energy principle addresses this challenge by developing a physics of sentience combining dynamical systems theory with the boundary separating self from nonself.…”

Section: Discussionmentioning

confidence: 99%

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Cognition as Morphological/Morphogenetic Embodied Computation In Vivo

Dodig-Crnković

2022

Entropy

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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.

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Section: Discussionmentioning

confidence: 99%

“…A broader understanding of computation that includes dynamical systems solves this apparent contradiction. For the arguments from the theory of computation, see [ 105 , 106 ].…”

Section: Discussionmentioning

confidence: 99%

Cognition as Morphological/Morphogenetic Embodied Computation In Vivo

Dodig-Crnković

2022

Entropy

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Cognition as Embodied Morphological Computation

Dodig-Crnković

2018

Studies in Applied Philosophy, Epistemology and Rational Ethics

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Cognitive science is considered to be the study of mind (consciousness and thought) and intelligence in humans. Under such definition variety of unsolved/unsolvable problems appear. This article argues for a broad understanding of cognition based on empirical results from i.a. natural sciences, selforganization, artificial intelligence and artificial life, network science and neuroscience, that apart from the high level mental activities in humans, includes subsymbolic and subconscious processes, such as emotions, recognizes cognition in other living beings as well as extended and distributed/social cognition. The new idea of cognition as complex multiscale phenomenon evolved in living organisms based on bodily structures that process information, linking cognitivists and EEEE (embodied, embedded, enactive, extended) cognition approaches with the idea of morphological computation (info-computational self-organisation) in cognizing agents, emerging in evolution through interactions of a (living/ cognizing) agent with the environment. 1 Understanding Cognition Cognitive science is currently defined as a study of processes of knowledge generation through perception, thinking (reasoning), memory, learning, problem solving, and similar. Thagard (2013) makes an extension of the idea of "thinking" to include emotional experience. This move bridges some of the distance between cognition as thinking and its (sub-)processes, but the fundamental problem of generative mechanisms that can dynamically overarch the chasm between matter and mind remains. The definition of cognitive science does not mention biology, chemistry, (quantum-nano-, etc.) physics or chaos theory, self-organisation, and artificial life, artificial intelligence or data science, extended mind, or distributed cognition as studied with help of network science, sociology or ecology. On the current view, cognition is about high-level processes remote from physicalchemical-biological substrate. It is modeled either by classical sequential computation, understood as symbol manipulation, or by neural networks. On the other hand, historically, behaviorism offered an alternative view of cognition with the focus on the observable behavior of a subject. This divide is mirrored in the present day schism between cognitivism/computationalism on one side and EEEE (embodied, embedded, enactive, extended) cognition on the other. There have been numerous attempts to bridge this gap AQ1 AQ2

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Epistemic Computation and Artificial Intelligence

Wiedermann

Leeuwen

2018

Studies in Applied Philosophy, Epistemology and Rational Ethics

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AI research is continually challenged to explain cognitive processes as being computational. Whereas existing notions of computing seem to have their limits for it, we contend that the recent, epistemic approach to computations may hold the key to understanding cognition from this perspective. In this approach, computations are seen as processes generating knowledge over a suitable knowledge domain, within the framework of a suitable knowledge theory. This, machineindependent, understanding of computation allows us to explain a variety of higher cognitive functions such as accountability, self-awareness, introspection, free will, creativity, anticipation and curiosity in computational terms. It also opens the way to understanding the self-improving mechanisms behind the development of intelligence. The argumentation does not depend on any technological analogies.

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Knowledge, Representation and the Dynamics of Computation

Cited by 5 publications

References 21 publications

Cognition as Morphological/Morphogenetic Embodied Computation In Vivo

Cognition as Morphological/Morphogenetic Embodied Computation In Vivo

Cognition as Embodied Morphological Computation

Epistemic Computation and Artificial Intelligence

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