Papers by Lucía B. Quintana
El estudio tiene como objetivo realizar una revisión de las investigaciones recientes sobre la co... more El estudio tiene como objetivo realizar una revisión de las investigaciones recientes sobre la conciencia-de-sí pre-reflexiva (en inglés pre-reflective self-consciousness) desde una perspectiva neurofisiológica y del desarrollo. Para ello se inicia con una revisión de antecedentes, para luego realizar consideraciones teóricas, anatómicas y metodológicas sobre el fenómeno de la conciencia-de-sí (CdS). Se enfatiza en el papel que tiene el ámbito pre-reflexivo para la comprensión de la CdS. El desarrollo del estudio considera en primer lugar las limitaciones conceptuales, anatómicas y metodológicas de investigar la CdS o self, para luego profundizar en la discusión reciente respecto a sus bases biológicas y funcionales. Se concluye que la conciencia-de-sí comprendida como actividad de relación a sí mismo, conlleva una activación integral, flexible y dinámica tanto de regiones subcorticales como de regiones corticales y que en su ámbito pre-reflexivo la CdS es un sentido intermodal que se asocia con el flujo temporal continúo de retroalimentación de la persona consigo misma y el entorno.
Talks by Lucía B. Quintana
Este avance contiene parte del marco teórico-metodológico así como la estructura conceptual bási... more Este avance contiene parte del marco teórico-metodológico así como la estructura conceptual básica de la propuesta. El objetivo principal es examinar filosóficamente el modo pre-reflexivo de ser conscientes de sí (pre-reflective self-consciousness) en una continua interlocución interdisciplinaria con estudios empíricos.
Drafts by Lucía B. Quintana
Contenidos
Introducción
Capítulo 1. Línea histórica, postulados y objeciones teóricas en los pr... more Contenidos
Introducción
Capítulo 1. Línea histórica, postulados y objeciones teóricas en los principales paradigmas y enfoques en inteligencia artificial
Capítulo 2. Avances empíricos en inteligencia artificial desde los enfoques de sistemas multiagente y de 4ea cognition
Conclusiones
Bibliografía
Brooks, R. (1999). Cambrian intelligence. MIT Press.
Brooks, R. (2002). Flesh and Machines: How Robots Will Change Us. Nueva York: Pantheon
Books.
Bullo, F. (2016). Dynamic Routing and Coordination in Multi-Agent Networks. Santa Barbara, US:
Universidad de California. Obtenido de https://apps.dtic.mil/dtic/tr/fulltext/u2/1010873.pdf
Coello, Y., & Fischer, M. (2016). Perceptual and emotional embodiment: Foundations of embodied
cognition. Nueva York: Routledge Psychology Press.
Deng, E., Mutlu, B., & Mataric, M. J. (2019). Embodiment in Socially Interactive Robots.
Foundations and Trends® in Robotics, 7(4), 251-356.
Fischer, M., & Coello, Y. (2016). Conceptual and interactive embodiment: Foundations of
embodied cognition. Nueva York: Routledge Psychology Press.
Gordon, G. (2019). Social behaviour as an emergent property of embodied curiosity: a robotics
perspective. Philosophical Transactions of the Royal Society B.
Howard, D., Eiben, A. E., Kennedy, D. F., Mouret, J.-B., Valencia, P., & Winkler, D. (2019).
Evolving embodied intelligence from materials to machines. Nature Machine
Intelligence(1), 12-19.
Krueger, J. (2011). Extended Cognition and the Space of Social Interaction. Consciousness and
Cognition 20(3), 643-57.
Lehmann, H., & Rossi, P. G. (2019). Enactive Robot Assisted Didactics (ERAD): the role of the
Maker Movement. En A. D. Moro M. (Ed.), International Conference EduRobotics:
Advances in Intelligent Systems and Computing. 946. Cham: Springer.
Loren, L., & Dietrich, E. (1996). Phenomenology and situated action. Association for the
Advancement of Artificial Intelligence, 78-81.
Ma, H., Tovey, C., Sharon, G., Kumar, T. K., & Koenig, S. (2016). Multi-Agent Path Finding with
Payload Transfers and the Package-Exchange Robot-Routing Problem. Thirtieth AAAI
Conference on Artificial Intelligence. New York: AAAI Publications.
MacKey, J. (2010). Robots. New York: Lucent Books.
17
Newen, A., De Bruin, L., & Gallagher, S. (2018). The Oxford Handbook of 4E Cognition. Oxford
University Press.
Pfeifer, R., & Bongard, J. (2007). How the body shapes the way we think: a new view of
intelligence. Cambridge: MIT Press.
Russell, S., & Norvig, P. (1995). Artificial Intelligence: a modern approach (Tercera ed.). New
Jersey: Pearson Education.
Sabo, C., Yavuz, E., Cope, A., Gurney, K., Vasilaki, E., Nowotny, T., & Marshall, J. A. (2017). An
inexpensive flying robot design for embodied robotics research. International Joint
Conference on Neural Networks (IJCNN), (págs. 4171-4178). Anchorage, AK.
doi:10.1109/IJCNN.2017.7966383
Siciliano, B., Khatib, O., & Groen, F. (2007). Robotics research. (S. Thrun, R. Brooks, & H.
Durrant-Whyte, Edits.) Berlin: Springer.
Steels, L., & Brooks, R. (1995). The artificial life route to artificial intelligence. New Jersey:
Lawrence Erlbaum Associates, Inc.
Sun, R. (2006). Prolegomena to Integrating Cognitive Modeling and Social Simulation . En R. Sun,
Cognition and multi-agent interaction (págs. 3-28). New York: Cambridge University
Press.
Tuyls, K., & Weiss, G. (2012). Multiagent learning: Basics, challenges, and prospects. AI
Magazine, 41-52.
Varela, F. (1995). The re-enchantment of the concrete: some biological ingredients for a nouvelle
cognitive science. En L. Steels, & R. Brooks, The artificial life route to artificial
intelligence (págs. 11-22). New Jersey: Lawrence Erlbaum Associates, Inc.
Varela, F., Thompson, E., & Rosch, E. (2005). De cuerpo presente: Las ciencias cognitivas y la
experiencia humana. Barcelona: Gedisa.
Vorotnikov, S., Ermishin, K., Nazarova, A., & Yuschenko, A. (2018). Multi-agent Robotic Systems
in Collaborative Robotics. En A. Ronzhin, G. Rigoll, & R. Meshcheryakov, Interactive
Collaborative Robotics. ICR 2018. Lecture Notes in Computer Sience (Vol. 11097). Cham:
Springer.
18
Wheeler, M. (2008). Cognition in context: phenomenology, situated robotics and the frame
problem. International Journal of Philosophical Studies, 3(16), 323-449.
Wykowska, A., Chaminade, T., & Cheng, G. (2016). Embodied artificial agents for undestanding human social cognition. Philosophical Transactions de la Real Scoiedad B.,
371(20150375), 1-9.
Uploads
Papers by Lucía B. Quintana
Talks by Lucía B. Quintana
Drafts by Lucía B. Quintana
Introducción
Capítulo 1. Línea histórica, postulados y objeciones teóricas en los principales paradigmas y enfoques en inteligencia artificial
Capítulo 2. Avances empíricos en inteligencia artificial desde los enfoques de sistemas multiagente y de 4ea cognition
Conclusiones
Bibliografía
Brooks, R. (1999). Cambrian intelligence. MIT Press.
Brooks, R. (2002). Flesh and Machines: How Robots Will Change Us. Nueva York: Pantheon
Books.
Bullo, F. (2016). Dynamic Routing and Coordination in Multi-Agent Networks. Santa Barbara, US:
Universidad de California. Obtenido de https://apps.dtic.mil/dtic/tr/fulltext/u2/1010873.pdf
Coello, Y., & Fischer, M. (2016). Perceptual and emotional embodiment: Foundations of embodied
cognition. Nueva York: Routledge Psychology Press.
Deng, E., Mutlu, B., & Mataric, M. J. (2019). Embodiment in Socially Interactive Robots.
Foundations and Trends® in Robotics, 7(4), 251-356.
Fischer, M., & Coello, Y. (2016). Conceptual and interactive embodiment: Foundations of
embodied cognition. Nueva York: Routledge Psychology Press.
Gordon, G. (2019). Social behaviour as an emergent property of embodied curiosity: a robotics
perspective. Philosophical Transactions of the Royal Society B.
Howard, D., Eiben, A. E., Kennedy, D. F., Mouret, J.-B., Valencia, P., & Winkler, D. (2019).
Evolving embodied intelligence from materials to machines. Nature Machine
Intelligence(1), 12-19.
Krueger, J. (2011). Extended Cognition and the Space of Social Interaction. Consciousness and
Cognition 20(3), 643-57.
Lehmann, H., & Rossi, P. G. (2019). Enactive Robot Assisted Didactics (ERAD): the role of the
Maker Movement. En A. D. Moro M. (Ed.), International Conference EduRobotics:
Advances in Intelligent Systems and Computing. 946. Cham: Springer.
Loren, L., & Dietrich, E. (1996). Phenomenology and situated action. Association for the
Advancement of Artificial Intelligence, 78-81.
Ma, H., Tovey, C., Sharon, G., Kumar, T. K., & Koenig, S. (2016). Multi-Agent Path Finding with
Payload Transfers and the Package-Exchange Robot-Routing Problem. Thirtieth AAAI
Conference on Artificial Intelligence. New York: AAAI Publications.
MacKey, J. (2010). Robots. New York: Lucent Books.
17
Newen, A., De Bruin, L., & Gallagher, S. (2018). The Oxford Handbook of 4E Cognition. Oxford
University Press.
Pfeifer, R., & Bongard, J. (2007). How the body shapes the way we think: a new view of
intelligence. Cambridge: MIT Press.
Russell, S., & Norvig, P. (1995). Artificial Intelligence: a modern approach (Tercera ed.). New
Jersey: Pearson Education.
Sabo, C., Yavuz, E., Cope, A., Gurney, K., Vasilaki, E., Nowotny, T., & Marshall, J. A. (2017). An
inexpensive flying robot design for embodied robotics research. International Joint
Conference on Neural Networks (IJCNN), (págs. 4171-4178). Anchorage, AK.
doi:10.1109/IJCNN.2017.7966383
Siciliano, B., Khatib, O., & Groen, F. (2007). Robotics research. (S. Thrun, R. Brooks, & H.
Durrant-Whyte, Edits.) Berlin: Springer.
Steels, L., & Brooks, R. (1995). The artificial life route to artificial intelligence. New Jersey:
Lawrence Erlbaum Associates, Inc.
Sun, R. (2006). Prolegomena to Integrating Cognitive Modeling and Social Simulation . En R. Sun,
Cognition and multi-agent interaction (págs. 3-28). New York: Cambridge University
Press.
Tuyls, K., & Weiss, G. (2012). Multiagent learning: Basics, challenges, and prospects. AI
Magazine, 41-52.
Varela, F. (1995). The re-enchantment of the concrete: some biological ingredients for a nouvelle
cognitive science. En L. Steels, & R. Brooks, The artificial life route to artificial
intelligence (págs. 11-22). New Jersey: Lawrence Erlbaum Associates, Inc.
Varela, F., Thompson, E., & Rosch, E. (2005). De cuerpo presente: Las ciencias cognitivas y la
experiencia humana. Barcelona: Gedisa.
Vorotnikov, S., Ermishin, K., Nazarova, A., & Yuschenko, A. (2018). Multi-agent Robotic Systems
in Collaborative Robotics. En A. Ronzhin, G. Rigoll, & R. Meshcheryakov, Interactive
Collaborative Robotics. ICR 2018. Lecture Notes in Computer Sience (Vol. 11097). Cham:
Springer.
18
Wheeler, M. (2008). Cognition in context: phenomenology, situated robotics and the frame
problem. International Journal of Philosophical Studies, 3(16), 323-449.
Wykowska, A., Chaminade, T., & Cheng, G. (2016). Embodied artificial agents for undestanding human social cognition. Philosophical Transactions de la Real Scoiedad B.,
371(20150375), 1-9.
Introducción
Capítulo 1. Línea histórica, postulados y objeciones teóricas en los principales paradigmas y enfoques en inteligencia artificial
Capítulo 2. Avances empíricos en inteligencia artificial desde los enfoques de sistemas multiagente y de 4ea cognition
Conclusiones
Bibliografía
Brooks, R. (1999). Cambrian intelligence. MIT Press.
Brooks, R. (2002). Flesh and Machines: How Robots Will Change Us. Nueva York: Pantheon
Books.
Bullo, F. (2016). Dynamic Routing and Coordination in Multi-Agent Networks. Santa Barbara, US:
Universidad de California. Obtenido de https://apps.dtic.mil/dtic/tr/fulltext/u2/1010873.pdf
Coello, Y., & Fischer, M. (2016). Perceptual and emotional embodiment: Foundations of embodied
cognition. Nueva York: Routledge Psychology Press.
Deng, E., Mutlu, B., & Mataric, M. J. (2019). Embodiment in Socially Interactive Robots.
Foundations and Trends® in Robotics, 7(4), 251-356.
Fischer, M., & Coello, Y. (2016). Conceptual and interactive embodiment: Foundations of
embodied cognition. Nueva York: Routledge Psychology Press.
Gordon, G. (2019). Social behaviour as an emergent property of embodied curiosity: a robotics
perspective. Philosophical Transactions of the Royal Society B.
Howard, D., Eiben, A. E., Kennedy, D. F., Mouret, J.-B., Valencia, P., & Winkler, D. (2019).
Evolving embodied intelligence from materials to machines. Nature Machine
Intelligence(1), 12-19.
Krueger, J. (2011). Extended Cognition and the Space of Social Interaction. Consciousness and
Cognition 20(3), 643-57.
Lehmann, H., & Rossi, P. G. (2019). Enactive Robot Assisted Didactics (ERAD): the role of the
Maker Movement. En A. D. Moro M. (Ed.), International Conference EduRobotics:
Advances in Intelligent Systems and Computing. 946. Cham: Springer.
Loren, L., & Dietrich, E. (1996). Phenomenology and situated action. Association for the
Advancement of Artificial Intelligence, 78-81.
Ma, H., Tovey, C., Sharon, G., Kumar, T. K., & Koenig, S. (2016). Multi-Agent Path Finding with
Payload Transfers and the Package-Exchange Robot-Routing Problem. Thirtieth AAAI
Conference on Artificial Intelligence. New York: AAAI Publications.
MacKey, J. (2010). Robots. New York: Lucent Books.
17
Newen, A., De Bruin, L., & Gallagher, S. (2018). The Oxford Handbook of 4E Cognition. Oxford
University Press.
Pfeifer, R., & Bongard, J. (2007). How the body shapes the way we think: a new view of
intelligence. Cambridge: MIT Press.
Russell, S., & Norvig, P. (1995). Artificial Intelligence: a modern approach (Tercera ed.). New
Jersey: Pearson Education.
Sabo, C., Yavuz, E., Cope, A., Gurney, K., Vasilaki, E., Nowotny, T., & Marshall, J. A. (2017). An
inexpensive flying robot design for embodied robotics research. International Joint
Conference on Neural Networks (IJCNN), (págs. 4171-4178). Anchorage, AK.
doi:10.1109/IJCNN.2017.7966383
Siciliano, B., Khatib, O., & Groen, F. (2007). Robotics research. (S. Thrun, R. Brooks, & H.
Durrant-Whyte, Edits.) Berlin: Springer.
Steels, L., & Brooks, R. (1995). The artificial life route to artificial intelligence. New Jersey:
Lawrence Erlbaum Associates, Inc.
Sun, R. (2006). Prolegomena to Integrating Cognitive Modeling and Social Simulation . En R. Sun,
Cognition and multi-agent interaction (págs. 3-28). New York: Cambridge University
Press.
Tuyls, K., & Weiss, G. (2012). Multiagent learning: Basics, challenges, and prospects. AI
Magazine, 41-52.
Varela, F. (1995). The re-enchantment of the concrete: some biological ingredients for a nouvelle
cognitive science. En L. Steels, & R. Brooks, The artificial life route to artificial
intelligence (págs. 11-22). New Jersey: Lawrence Erlbaum Associates, Inc.
Varela, F., Thompson, E., & Rosch, E. (2005). De cuerpo presente: Las ciencias cognitivas y la
experiencia humana. Barcelona: Gedisa.
Vorotnikov, S., Ermishin, K., Nazarova, A., & Yuschenko, A. (2018). Multi-agent Robotic Systems
in Collaborative Robotics. En A. Ronzhin, G. Rigoll, & R. Meshcheryakov, Interactive
Collaborative Robotics. ICR 2018. Lecture Notes in Computer Sience (Vol. 11097). Cham:
Springer.
18
Wheeler, M. (2008). Cognition in context: phenomenology, situated robotics and the frame
problem. International Journal of Philosophical Studies, 3(16), 323-449.
Wykowska, A., Chaminade, T., & Cheng, G. (2016). Embodied artificial agents for undestanding human social cognition. Philosophical Transactions de la Real Scoiedad B.,
371(20150375), 1-9.