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Morphological Computing as Logic Underlying Cognition in Human, Animal, and Intelligent Machine
In a computing nature framework with a self-organizing agency, innovative computational frameworks grounded in morphological/physical/natural computation can be used to explain the genesis of human-centered logic through the steps of naturalized logical processes at lower levels of organization.
Computational Natural Philosophy: A Thread from Presocratics through Turing to ChatGPT
Modern computational natural philosophy conceptualizes the universe in terms of information and computation, establishing a framework for the study of cognition and intelligence.
Natural Computational Architectures for Cognitive Info-Communication
Recent comprehensive overview of 40 years of research in cognitive architectures, (Kotseruba and Tsotsos 2020), evaluates modelling of the core cognitive abilities in humans, but only marginally addresses biologically plausible approaches based on natural computation.
Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics
Development of the intelligent autonomous robot technology presupposes its anticipated beneficial effect on the individuals and societies.
Morphological Computation and Learning to Learn In Natural Intelligent Systems And AI
At present, artificial intelligence in the form of machine learning is making impressive progress, especially the field of deep learning (DL) [1].
Information, Computation, Cognition. Agency-based Hierarchies of Levels
Nature can be seen as informational structure with computational dynamics (info-computationalism), where an (info-computational) agent is needed for the potential information of the world to actualize.
Info-computational constructivism in modelling of life as cognition
At present we lack the common understanding of the processes of life and cognition in living organisms with the details of co-construction of informational structures and computational processes in embodied, embedded cognizing agents, both living and artifactual ones.
