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Morphological Computing in Cognitive Systems, Connecting Data to Intelligent Agency

Department of Computer Science and Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden
Presented at the Fourth International Conference on Philosophy of Information, Berkeley, California, USA and 2–6 June 2019.
Proceedings 2020, 47(1), 41; https://doi.org/10.3390/proceedings47010041
Published: 15 May 2020
(This article belongs to the Proceedings of IS4SI 2019 Summit)
This paper addresses some of the major controversies underlying the theme of the IS4SI 2019 Berkeley summit: “Where is the I in AI and the meaning of Information?”. It analyzes the relationship between cognition and intelligence in the light of the difference between old, abstract and the new embodied, embedded, enactive computationalism. It is questioning presuppositions of old computationalism which described the abstract ability of humans to construct knowledge as a symbol system, comparing it to the modern view of cognition found in various degrees in all living beings, with morphological/physical computational processes emerging at a variety of levels of organization. Cognitive computing based on natural/ physical/ morphological computation is used to explain the goal-directed behavior of an agent acting on its own behalf (the “I” as self-referential awareness) applicable to both living beings and machines with varying degrees of intelligence.
Keywords: intelligence; cognition; artificial intelligence; information processing; morphological computing; natural computing; unconventional computing; evolution of agency intelligence; cognition; artificial intelligence; information processing; morphological computing; natural computing; unconventional computing; evolution of agency
MDPI and ACS Style

Dodig-Crnkovic, G. Morphological Computing in Cognitive Systems, Connecting Data to Intelligent Agency. Proceedings 2020, 47, 41.

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