Cited by 320Embodied and Extended CognitionCybernetics and Technology in SocietyPsychiatry, Mental Health, Neuroscience

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Enactive artificial intelligence: Investigating the systemic organization of life and mind

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Froese, Tom, Ziemke, Tom·2009·Artificial Intelligence

DOI 10.1016/j.artint.2008.12.001

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Being and Time
Hepburn, R. W., Heidegger, M., Macquarrie, J., & Robinson, E. (1927) · Medical Entomology and Zoology · Cited by 12,201
What Is It Like to Be a Bat?
Nagel, T. (1974) · The Philosophical Review · doi:10.2307/2183914 · Cited by 7,440
Minds, brains, and programs
Searle, J. R. (1980) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00005756 · Cited by 6,954
The Embodied Mind: Cognitive Science and Human Experience
Varela, F. J., Rosch, E. H., & Thompson, E. T. (2017) · Project Muse (Johns Hopkins University) · Cited by 5,910
Intelligence without representation
Brooks, R. A. (1991) · Artificial Intelligence · doi:10.1016/0004-3702(91)90053-m · Cited by 4,853
Autopoiesis and Cognition: The Realization of the Living
Maturana, H. R., Varela, F. J., & Beer, S. (1980) · Cited by 4,667
Untitled work
(1987) · Medical Entomology and Zoology · Cited by 4,269
The symbol grounding problem
Harnad, S. (1990) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(90)90087-6 · Cited by 4,235 · cited 1×
“[84,33]), Harnard’s [59] formulation of the “symbol grounding problem”, or even the extensive Heideggerian criticisms developed by Dreyfus [42,43,45].”
Background
The conscious mind: in search of a fundamental theory
(1996) · Choice Reviews Online · doi:10.5860/choice.34-2091 · Cited by 4,150
Some Philosophical Problems from the Standpoint of Artificial Intelligence
McCarthy, J., & Hayes, P. J. (1981) · Elsevier eBooks · doi:10.1016/b978-0-934613-03-3.50033-7 · Cited by 3,296

Show all 176 references

Research works printed but not linked: 4

Harvey, 1996, Untimed and misrepresented: Connectionism and the computer metaphor, Artificial Intelligence and Simulation of Behavior Quarterly, 96, 20
Langton, 1989, Artificial life, vol. 4, 1
J. Stewart, E.A. Di Paolo, O. Gapenne, Introduction, in: J. Stewart, O. Gapenne, E.A. Di Paolo (Eds.), Enaction: Towards a New Paradigm for Cognitive Science, The MIT Press, Cambridge, MA, in press
T. Ziemke, Are robots embodied?, in: C. Balkenius, et al. (Eds.), Proc. of the 1st Int. Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Lund, Sweden, Lund University Cognitive Studies, vol. 85, 2001, pp. 75–93

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Nelson, A. (2013) · Cited by 3
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Vernon, D. (2025) · Advanced Robotics Research · doi:10.1002/adrr.202500066 · Cited by 2
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Authors: Froese, T., & Ziemke, T.
Affiliations: University of Sussex (GB)
Corresponding author: Froese, Tom
ORCID: Froese, Tom
Venue: Artificial Intelligence
Publisher: Elsevier BV
Published: 2009-03
Volume: 173
Issue: 3-4
Pages: 466-500
ISSN: 0004-3702 (ISSN-L)
DOI: 10.1016/j.artint.2008.12.001
OpenAlex: W1989974095
Cited by: 317
References: 176
Citations by year: 2026: 20 · 2025: 22 · 2024: 16 · 2023: 19 · 2022: 20 · 2021: 18 · 2020: 15 · 2019: 16 · 2018: 22 · 2017: 18 · 2016: 15 · 2015: 20 · 2014: 18 · 2013: 26 · 2012: 17
FWCI: 6.05
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 1607 d)
Locations: Artificial Intelligence (publishedVersion)
Funders: University of Sussex
Högskolan i Skövde
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
Keywords: embodied AI, intentional agency, adaptivity, design principles, embodied cognition, computational theory of mind, sensemaking, autonomous agency

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