Cross-Embodied Cognitive Morphologies
Vallverdú, Jordi 1973- (Universitat Autònoma de Barcelona. Departament de Filosofia)

Publicació:	MDPI, 2022
Resum:	Most of the bioinspired morphological computing studies have departed from a human analysis bias: to consider cognitive morphology as encapsulated by one body, which, of course, can have enactive connections with other bodies, but that is defined by clear bodily boundaries. Such complex biological inspiration has been directing the research agenda of a huge number of labs and institutions in recent decades. Nevertheless, there are other bioinspired examples or even technical possibilities that go beyond biological capabilities (such as constant morphological updating and reshaping, which asks for remapping cognitive performances). Additionally, despite the interest of swarm cognition (which includes superorganisms of flocks, swarms, packs, schools, crowds, or societies) in such non-human-centered approaches, there is still a biological constraint: such cognitive systems have permanent bodily morphologies and only interact between similar entities. In all cases, and even considering amazing possibilities, suchas the largest living organism on Earth (specifically the honey fungus Armillaria ostoyae, measuring 3. 8 km across in the Blue Mountains in Oregon), it has not been put over the table the possibility of thinking about cross-morphological cognitive systems. Nests of intelligent drones as a single part of AI systems with other co-working morphologies, for example. I am, therefore, suggesting the necessity of thinking about cross-embodied cognitive morphologies, more dynamical and challenging than any other existing cognitive system already studied or created.
Nota:	Presented at the 4th International Workshop on Morphological Computing (MORCOM 2021), IS4SI Summit 2021, online, 12-19 September 2021.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Reservoir computing ; Memristor networks ; Cellular automata networks ; Protein toxicity ; Protein classification
Publicat a:	Proceedings, Vol. 81 (2022) , article number 10, ISSN 2504-3900

DOI: 10.3390/proceedings2022081010

4 p, 207.5 KB

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