2014/01/28 by Gordana Dodig-Crnković, Dodig-Crnkovic, Gordana
Computer Science · Neuroscience · #Cognitive Science and Education Research #Cognitive Science and Mapping #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Other Computer Science (cs.OH)
paper · pdf · doi:10.48550/arxiv.1401.7191
openalex publication_date 2014/01/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This article presents a naturalist approach to cognition understood as a network of info-computational, autopoietic processes in living systems. It provides a conceptual framework for the unified view of cognition as evolved from the simplest to the most complex organisms, based on new empirical and theoretical results. It addresses three fundamental questions: what cognition is, how cognition works and what cognition does at different levels of complexity of living organisms. By explicating the info-computational character of cognition, its evolution, agent-dependency and generative mechanisms we can better understand its life-sustaining and life-propagating role. The info-computational approach contributes to rethinking cognition as a process of natural computation in living beings that can be applied for cognitive computation in artificial systems.