Literature DB >> 24839893

Cognition from the bottom up: on biological inspiration, body morphology, and soft materials.

Rolf Pfeifer1, Fumiya Iida2, Max Lungarella3.   

Abstract

Traditionally, in cognitive science the emphasis is on studying cognition from a computational point of view. Studies in biologically inspired robotics and embodied intelligence, however, provide strong evidence that cognition cannot be analyzed and understood by looking at computational processes alone, but that physical system-environment interaction needs to be taken into account. In this opinion article, we review recent progress in cognitive developmental science and robotics, and expand the notion of embodiment to include soft materials and body morphology in the big picture. We argue that we need to build our understanding of cognition from the bottom up; that is, all the way from how our body is physically constructed.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  bio-inspired soft robotics; developmental sciences and robotics; embodied intelligence; morphological computation

Mesh:

Year:  2014        PMID: 24839893     DOI: 10.1016/j.tics.2014.04.004

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  16 in total

Review 1.  Information processing in the CNS: a supramolecular chemistry?

Authors:  Arturo Tozzi
Journal:  Cogn Neurodyn       Date:  2015-03-10       Impact factor: 5.082

Review 2.  Adaptation of sensor morphology: an integrative view of perception from biologically inspired robotics perspective.

Authors:  Fumiya Iida; Surya G Nurzaman
Journal:  Interface Focus       Date:  2016-08-06       Impact factor: 3.906

Review 3.  Phantom Limbs, Neuroprosthetics, and the Developmental Origins of Embodiment.

Authors:  Mark S Blumberg; James C Dooley
Journal:  Trends Neurosci       Date:  2017-10       Impact factor: 13.837

Review 4.  Evolutionary convergence and biologically embodied cognition.

Authors:  Fred A Keijzer
Journal:  Interface Focus       Date:  2017-04-21       Impact factor: 3.906

5.  High-fidelity continuum modeling predicts avian voiced sound production.

Authors:  Weili Jiang; Jeppe H Rasmussen; Qian Xue; Ming Ding; Xudong Zheng; Coen P H Elemans
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-13       Impact factor: 11.205

6.  Usability evaluation of an interactive leg press training robot for children with neuromuscular impairments.

Authors:  Farouk Chrif; Hubertus J A van Hedel; Mauro Vivian; Tobias Nef; Kenneth J Hunt
Journal:  Technol Health Care       Date:  2022       Impact factor: 1.205

Review 7.  Planarian regeneration as a model of anatomical homeostasis: Recent progress in biophysical and computational approaches.

Authors:  Michael Levin; Alexis M Pietak; Johanna Bischof
Journal:  Semin Cell Dev Biol       Date:  2018-05-01       Impact factor: 7.727

8.  A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives.

Authors:  Cai Li; Robert Lowe; Tom Ziemke
Journal:  Front Neurorobot       Date:  2014-10-02       Impact factor: 2.650

9.  An Embodied Brain Model of the Human Foetus.

Authors:  Yasunori Yamada; Hoshinori Kanazawa; Sho Iwasaki; Yuki Tsukahara; Osuke Iwata; Shigehito Yamada; Yasuo Kuniyoshi
Journal:  Sci Rep       Date:  2016-06-15       Impact factor: 4.379

10.  Subjectivity: A Case of Biological Individuation and an Adaptive Response to Informational Overflow.

Authors:  Jakub Jonkisz
Journal:  Front Psychol       Date:  2016-08-09
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