4583fe9ba2d0b51cac694da8f521fc3e proceedings-mdpi_a2022b81an10.pdf 97b9eff13eb7b63116668c321d4c9c6adc6a0d95 proceedings-mdpi_a2022b81an10.pdf 86e9ab95dfe9ae28024add3a020b28116d27a709411b6faf6e1715e97eb17954 proceedings-mdpi_a2022b81an10.pdf Title: Cross-Embodied Cognitive Morphologies "2279 Subject: 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, such as 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. Keywords: reservoir computing; memristor networks; cellular automata networks; protein toxicity; protein classification Author: Jordi Vallverdú Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Thu Mar 10 09:23:13 2022 CET ModDate: Thu Mar 10 09:42:25 2022 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 4 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 212513 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- ENLEMO+VnURWPalladioL-Bold Type 1 Custom yes yes no 10 0 HLKNMR+VnURWPalladioL Type 1 Custom yes yes no 15 0 HFRIFD+URWPalladioL-Bold Type 1 Custom yes yes no 19 0 SYPUCE+URWPalladioL-Roma Type 1 Custom yes yes no 24 0 RCKWTG+URWPalladioL-Ital Type 1 Custom yes yes no 28 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 36 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 40 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 44 0 WBTPCM+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 63 0 XIGCQR+Dingbats Type 1 Builtin yes yes no 88 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-02-22 02:34:41 CET RepresentationInformation: proceedings-mdpi_a2022b81an10.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-02-21 15:48:21 CET Size: 212513 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 137 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: The Single Body Bias Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: Conceptual Aspects of This Debate Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Children: Item: Title: Embodied vs. Disembodied AI Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: Haptics and Multimodal Perception Reconceptualization Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Possible Combinations of Current Models Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Cognitive Transferability Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Physically Grounded Programming Languages Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Item: Title: Cross-Embodied Cognition Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Info: Title: Cross-Embodied Cognitive Morphologies "2279 Author: Jordi Vallverdú Subject: 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, such as 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. 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