Summary of Rethinking Cognition: Morphological Info-computation and the Embodied Paradigm in Life and Artificial Intelligence, by Gordana Dodig-crnkovic
Rethinking Cognition: Morphological Info-Computation and the Embodied Paradigm in Life and Artificial Intelligence
by Gordana Dodig-Crnkovic
First submitted to arxiv on: 1 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study aims to bridge the conceptual gaps between human cognition and computational models by placing Lorenzo Magnanis Eco-Cognitive Computationalism within the broader context of information processing, computation, and cognition. The paper presents a variety of approaches, including an info-computational approach that views natural structures as representing information and dynamical processes on these structures as computation relative to observing cognizing agents. It models cognition as a web of concurrent morphological computations driven by self-assembly, self-organisation, and autopoiesis across physical, chemical, and biological domains. The study explores recent findings linking morphological computation, morphogenesis, agency, basal cognition, extended evolutionary synthesis, and active inference, establishing connections to Magnanis Eco-Cognitive Computationalism and the idea of computational domestication of ignorant entities. Novel theoretical and applied insights question traditional models prioritizing symbolic processing, highlighting the importance of gaining an info-computational grasp of cognitive embodiment for advancing fields like biology, evolutionary studies, artificial intelligence, robotics, medicine, and more. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how we can better understand how living things think and process information. Traditionally, people thought that only humans had thoughts and ideas, but scientists have recently found out that all life forms, from tiny cells to complex organisms, can think and learn. The problem is that most research on thinking has focused on the human brain, leaving big gaps in our understanding of how other living things think. This study takes a different approach by looking at how natural structures and processes can be used to understand information processing and computation. It shows that cognition (thinking) is not just limited to humans, but is a fundamental characteristic of all life forms. The findings challenge traditional models of thinking and suggest new ways of understanding how living things process information. |
Keywords
» Artificial intelligence » Inference
