Morphological Computing as Logic Underlying Cognition in Human, Animal, and Intelligent Machine
Book chapter, 2025

This chapter examines the interconnections between logic, epistemology, and sciences within the naturalist tradition. 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 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. The process of evolution and in particular its formulation as the extended evolutionary synthesis (EES) of living agents is essential for understanding the emergence of human-level logic and the relationship between logic and information processing/computational epistemology. We conclude that more research is needed to elucidate the details of the mechanisms linking natural phenomena with the logic of agency in nature.

Cognition

Intelligent Machine

Morphological Computing

Logic

Author

Gordana Dodig Crnkovic

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Understanding Information and Its Role as a Tool. In Memory of Mark Burgin.

57-85
978-981-12-9491-4 (ISBN)

Morphological Computing in Cognitive Systems (MORCOM@COGS)

Swedish Research Council (VR) (2015-05359), 2016-01-01 -- 2020-12-31.

Areas of Advance

Information and Communication Technology

Life Science Engineering (2010-2018)

Driving Forces

Sustainable development

Innovation and entrepreneurship

Subject Categories (SSIF 2025)

Philosophy

Computer Sciences

Roots

Basic sciences

DOI

10.1142/9789811294921_0003

More information

Created

11/30/2025