Cognición corporizada: Una perspectiva post-fenomenológica de la robótica del desarrollo

Darío Julián Tagnin

doi:10.24215/23143924e091

Authors

Darío Julián Tagnin Universidad Nacional de José C. Paz, Argentina

DOI:

https://doi.org/10.24215/23143924e091

Keywords:

developmental robotics, postphenomenology, embodied cognition, perception

Abstract

This article explores the intersection between developmental robotics and postphenomenology to advance the understanding of embodied cognition. Starting from the premise that cognitive processes are intrinsically linked to bodily experience, it analyzes how non-human communication agents (NHCAs), especially robots, can develop their cognitive abilities through bodily interactions with their environment. By using concepts from postphenomenology, a theoretical framework is proposed that extends the understanding of technological mediation in the experience and perception of both humans and robots. This interdisciplinary crossover not only provides a new theoretical perspective but also offers practical implications for the design and functionality of robots, promoting a relational approach that respects the inherent characteristics of NHCAs. Instead of anthropomorphizing robots, the article suggests an understanding of their cognitive abilities and development that is consistent with their non-human nature.

References

Blanke, O. (2012). Multisensory brain mechanisms of bodily self-consciousness. Nature Reviews Neuroscience, 13, 556–571. https://doi.org/10.1038/nrn3292

Braverman, A., Marsh, N., Neville, M., Shastry, N y Zeldes, J. (2024). What's Next? The Future with Bill Gates. Netflix.

Cantone, D. (2023). The Simulated Body: A Preliminary Investigation into the Relationship Between Neuroscientifc Studies, Phenomenology and Virtual Reality. Foundations of Science, 28, 1011–1020

Calì, C. (2023). Philosophical, Experimental and Synthetic Phenomenology: The Study of Perception for Biological, Artificial Agents and Environments. Foundations of Science, 28(4), 1111-1124. https://doi.org/10.1007/s10699-022-09849-x

Dautenhahn, K. (2007). Socially Intelligent Robots: Dimensions of Human-Robot Interaction en Philosophical Transactions. Biological Sciences, 362 (1480), 679-704.

Ihde, D. (2007). Listening and Voice. SUNY Press.

Ihde, D. (2001). The technological lifeworld. En H. J. Achterhuis (Ed.), American Philosophy of Technology: The Empirical Turn. Indiana University Press.

Ihde, D. (2015). Postfenomenología y tecnociencia. Ars games.

Ihde, D. y Malafouris, L. (2019). Homo faber revisitado: posfenomenología y teoría del compromiso material. Philosophy & Technology, 32(2), 195-214.

Gallagher, S. (2023). Embodied and Enactive Approaches to Cognition. University of Cambridge Press.

Goldman, Alvin I. (2014). The Bodily Formats Approach to Embodied Cognition. En U. Kriegel (Ed.), Current Controversies in Philosophy of Mind (pp. 91-108). Routledge.

Hayles, K. (2017). Unthought. The Power of the Cognitive Nonconscious. The Chicago press.

Heidegger, M. (2004). Ser y tiempo. (Trad. J. Gaos). FCE–RBA. (Trabajo original publicado en 1927).

Horn, A., Ostwald, D., Reisert, M. y Blankenburg, F. (2013). The structural-functional connectome and the default mode network of the human brain. NeuroImage, 102, 142–151.

Husserl, E. (2012). la idea de la fenomenologia. Herder.

Husserl, E. (2005). Ideas relativas a una fenomenología pura y una filosofía fenomenológica. Fondo de Cultura Económica.

Joshi, A., Bhattacharyya, P. y Carman, M. J. (2018). Investigations in Computational Sarcasm. Springer.

Joshi, A., Kanojia, D., Bhattacharyya, P. y Carman, M. (2017). Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1).

Lee, M. (2020). How to Grow a Robot. The MIT Press.

Luber, M., Spinello, L. Silva, J. y Arras, K. (2012). Socially-aware robot navigation: A learning approach. IEEE/RSJ International Conference on Intelligent Robots and Systems. Vilamoura-Algarve, Portugal.

Merleau-Ponty, M. (1957). Fenomenología de la percepción. Fondo de Cultura Económica.

Pfeifer, R. y Lida, F. (7 de julio de 2003). Embodied Artificial Intelligence. International Seminar, Dagstuhl Castle, Germany, July 7-11, 2003, Revised Selected Papers.

Piaget, J. (1952). The Origins of Intelligence in Children (M. Cook, Trans.). International Universities Press.

Pylyshyn, Z. W. (2000). Situating vision in the world. Trends in Cognitive Science, 4(5), 197–206.

Ramachandran, V. S. y Rogers-Ramachandran, D. (1996). Synaesthesia in phantom limbs induced with mirrors. Proceedings: Biological Sciences, 263, 377–386. https://doi.org/10.1098/rspb.1996.0058

Rosenberger, R. y Verbeek, P. P. C. C. (2015). A field guide to postphenomenology. En R. Rosenberger y P-P. Verbeek (Eds.), Postphenomenological Investigations: Essays on Human-Technology Relations (pp. 9-41). Postphenomenology and the Philosophy of Technology.

Sandini G., Sciutti A. y Morasso P. (2024). Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents. Frontiers in Computational Neuroscience, 18,1349408. https://doi.org/10.3389/fncom.2024.1349408

Searle, J. (1990). Mentes, cerebros y ciencia. Cátedra.

Stiegler, B. (2002). La técnica y el tiempo. Volumen I: El pecado de Epimeteo. Argiraletxe Hiru.

Verbeek, P.P. (2005). What things do: philosophical reflections on technology, agency, and design. Pennsylvania State University Press.

Verbeek, P.P. (2011). Moralizing technology. Understanding and Designing the Morality of Things. Chicago Press.

Verbeek, P.P. (2016). Toward a Theory of Technological Mediation: A Program for Postphenomenological Research. En J. K. Berg, O. Friis y R. C. Crease (Eds.), Technoscience and Postphenomenology: The Manhattan Papers. (pp. 189-204). Lexington Books.

Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press.

Weiss, A. y Spiel, K. (2022). Robots beyond Science Fiction: mutual learning in human–robot interaction on the way to participatory approaches. AI & Society 37, 501–515. https://doi.org/10.1007/s00146-021-01209-w