Morphological Computing as Logic Underlying Cognition in Human, Animal, and Intelligent Machine
Gordana Dodig-Crnkovic

TL;DR
This paper explores how natural, scale-invariant, self-organizing processes underpin cognition and logic across humans, animals, and machines, suggesting a unified physical and biological basis for logical reasoning.
Contribution
It introduces a framework connecting natural processes with the evolution of cognitive and logical systems across different organizational levels.
Findings
Logic is rooted in natural, self-organizing processes.
Cognitive logic evolved from physical and biological logic.
Natural computation can explain the emergence of human-like logic.
Abstract
This work examines the interconnections between logic, epistemology, and sciences within the Naturalist tradition. It presents a scheme that connects logic, mathematics, physics, chemistry, biology, and cognition, emphasizing scale-invariant, self-organizing dynamics across organizational tiers of nature. The inherent logic of agency exists in natural processes at various levels, under information exchanges. It applies to humans, animals, and artifactual agents. The common human-centric, natural language-based logic is an example of complex logic evolved by living organisms that already appears in the simplest form at the level of basal cognition of unicellular organisms. Thus, cognitive logic stems from the evolution of physical, chemical, and biological logic. In a computing nature framework with a self-organizing agency, innovative computational frameworks grounded in…
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Taxonomy
TopicsChemical synthesis and alkaloids · Plant and Biological Electrophysiology Studies · Evolutionary Game Theory and Cooperation
