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An exploration of embodied intelligence that moves beyond the traditional focus on brains and code to the role of embodiment across various disciplines.
Intelligence research is undergoing a radical transformation, moving beyond the traditional focus on brains and code to increasingly recognize the role of embodiment, as well as our understanding of goal-directed behavior across different scales and substrates. In this edited collection, experts across fields including philosophy, phenomenology, neuroscience, cognitive psychology, robotics, AI, bio-inspired design, biology, and bioengineering initiate transdisciplinary dialogues and facilitate the sharing of insights on embodiment, enabling a new understanding of embodied intelligence and how intelligence manifests across diverse substrates.
By embracing a broad definition of embodied intelligence, the contributors transcend the traditional divide between the biological and the artificial, recognizing the potential for intelligence to emerge in unexpected forms. This perspective challenges us to reconsider our assumptions about the nature of intelligence and to appreciate the remarkable diversity of intelligent behavior in the world around us. This broadened concept holds immense promise to profoundly reshape our understanding of ourselves, the technologies we create, and the very nature of intelligence itself.
Contributors: Arsen Abdulali, Dor Abrahamson, Mahault Albarracin, Francesco Bianchini, Josh Bongard, Lola Cañamero, Andy Clark, Axel Constant, Gordana Dodig-Crnkovic, Dobromir Dotov, Martin H. Fischer, Karl Friston, Jennifer M. B. Fugate, Shaun Gallagher, Conor Heins, Laura B. Hensel, Matej Hoffmann, Ryman Hashem, David Howard, Josie Hughes, Fumiya Iida, Alex B. Kiefer, Michael Levin, Sheila L. Macrine, Stacy Marsella, Alex Miklashevsky, Zachary A. Pardos, Thomas Parr, Shubhan Parag Patni, Giovanni Pezzulo, Tobias Thejll-Madsen, Marcelo Worsley, Nutchanon Yongsatianchot, and Carlotta Isabella Zona.
Intelligence research is undergoing a radical transformation, moving beyond the traditional focus on brains and code to increasingly recognize the role of embodiment, as well as our understanding of goal-directed behavior across different scales and substrates. In this edited collection, experts across fields including philosophy, phenomenology, neuroscience, cognitive psychology, robotics, AI, bio-inspired design, biology, and bioengineering initiate transdisciplinary dialogues and facilitate the sharing of insights on embodiment, enabling a new understanding of embodied intelligence and how intelligence manifests across diverse substrates.
By embracing a broad definition of embodied intelligence, the contributors transcend the traditional divide between the biological and the artificial, recognizing the potential for intelligence to emerge in unexpected forms. This perspective challenges us to reconsider our assumptions about the nature of intelligence and to appreciate the remarkable diversity of intelligent behavior in the world around us. This broadened concept holds immense promise to profoundly reshape our understanding of ourselves, the technologies we create, and the very nature of intelligence itself.
Contributors: Arsen Abdulali, Dor Abrahamson, Mahault Albarracin, Francesco Bianchini, Josh Bongard, Lola Cañamero, Andy Clark, Axel Constant, Gordana Dodig-Crnkovic, Dobromir Dotov, Martin H. Fischer, Karl Friston, Jennifer M. B. Fugate, Shaun Gallagher, Conor Heins, Laura B. Hensel, Matej Hoffmann, Ryman Hashem, David Howard, Josie Hughes, Fumiya Iida, Alex B. Kiefer, Michael Levin, Sheila L. Macrine, Stacy Marsella, Alex Miklashevsky, Zachary A. Pardos, Thomas Parr, Shubhan Parag Patni, Giovanni Pezzulo, Tobias Thejll-Madsen, Marcelo Worsley, Nutchanon Yongsatianchot, and Carlotta Isabella Zona.
An exploration of embodied intelligence that moves beyond the traditional focus on brains and code to the role of embodiment across various disciplines.
Intelligence research is undergoing a radical transformation, moving beyond the traditional focus on brains and code to increasingly recognize the role of embodiment, as well as our understanding of goal-directed behavior across different scales and substrates. In this edited collection, experts across fields including philosophy, phenomenology, neuroscience, cognitive psychology, robotics, AI, bio-inspired design, biology, and bioengineering initiate transdisciplinary dialogues and facilitate the sharing of insights on embodiment, enabling a new understanding of embodied intelligence and how intelligence manifests across diverse substrates.
By embracing a broad definition of embodied intelligence, the contributors transcend the traditional divide between the biological and the artificial, recognizing the potential for intelligence to emerge in unexpected forms. This perspective challenges us to reconsider our assumptions about the nature of intelligence and to appreciate the remarkable diversity of intelligent behavior in the world around us. This broadened concept holds immense promise to profoundly reshape our understanding of ourselves, the technologies we create, and the very nature of intelligence itself.
Contributors: Arsen Abdulali, Dor Abrahamson, Mahault Albarracin, Francesco Bianchini, Josh Bongard, Lola Cañamero, Andy Clark, Axel Constant, Gordana Dodig-Crnkovic, Dobromir Dotov, Martin H. Fischer, Karl Friston, Jennifer M. B. Fugate, Shaun Gallagher, Conor Heins, Laura B. Hensel, Matej Hoffmann, Ryman Hashem, David Howard, Josie Hughes, Fumiya Iida, Alex B. Kiefer, Michael Levin, Sheila L. Macrine, Stacy Marsella, Alex Miklashevsky, Zachary A. Pardos, Thomas Parr, Shubhan Parag Patni, Giovanni Pezzulo, Tobias Thejll-Madsen, Marcelo Worsley, Nutchanon Yongsatianchot, and Carlotta Isabella Zona.
Intelligence research is undergoing a radical transformation, moving beyond the traditional focus on brains and code to increasingly recognize the role of embodiment, as well as our understanding of goal-directed behavior across different scales and substrates. In this edited collection, experts across fields including philosophy, phenomenology, neuroscience, cognitive psychology, robotics, AI, bio-inspired design, biology, and bioengineering initiate transdisciplinary dialogues and facilitate the sharing of insights on embodiment, enabling a new understanding of embodied intelligence and how intelligence manifests across diverse substrates.
By embracing a broad definition of embodied intelligence, the contributors transcend the traditional divide between the biological and the artificial, recognizing the potential for intelligence to emerge in unexpected forms. This perspective challenges us to reconsider our assumptions about the nature of intelligence and to appreciate the remarkable diversity of intelligent behavior in the world around us. This broadened concept holds immense promise to profoundly reshape our understanding of ourselves, the technologies we create, and the very nature of intelligence itself.
Contributors: Arsen Abdulali, Dor Abrahamson, Mahault Albarracin, Francesco Bianchini, Josh Bongard, Lola Cañamero, Andy Clark, Axel Constant, Gordana Dodig-Crnkovic, Dobromir Dotov, Martin H. Fischer, Karl Friston, Jennifer M. B. Fugate, Shaun Gallagher, Conor Heins, Laura B. Hensel, Matej Hoffmann, Ryman Hashem, David Howard, Josie Hughes, Fumiya Iida, Alex B. Kiefer, Michael Levin, Sheila L. Macrine, Stacy Marsella, Alex Miklashevsky, Zachary A. Pardos, Thomas Parr, Shubhan Parag Patni, Giovanni Pezzulo, Tobias Thejll-Madsen, Marcelo Worsley, Nutchanon Yongsatianchot, and Carlotta Isabella Zona.
Über den Autor
edited by Sheila L. Macrine, Jennifer M. B. Fugate, Arsen Abdulali, and Josie Hughes
Inhaltsverzeichnis
Contents
Foreword
Fumiya Iida, Cambridge University
Preface
Acknowledgments
Introduction
Sheila L. Macrine, Jennifer M.B. Fugate, Arsen Abdulali, and Josie Hughes
Section I: Philosophical and Theoretical Foundations
1. Convergences of Human and Artificial Embodied Perspectives
Sheila L. Macrine and Jennifer M.B. Fugate
2. Artificial Selves: Robodiment and Narrative Identity in Robots
Shaun Gallagher
3. The Thirty Years’ War on Representations and Active Inference Westphalia
Axel Constant, Andy Clark, and Karl Friston
4. Predictive Processing: From Sensorimotor Skills to Higher Cognition
Giovanni Pezzulo, Thomas Parr, and Karl Friston
Section II: Embodied Artificial Intelligence
5. Advantages of Ecological AI
Alex Kiefer, Mahault Albarracin, and Conor Heins
6. Grounded, Embodied, and Situated Intelligence in Humans and Artificial Agents
Carlotta Zona, Martin Fischer, and Alex Miklashevsky
7. Embodied Cognition and Strong AI
Larry Shapiro and Francesco Bianchini
8. Embodied AI in Machine Learning – Is it Really Embodied?
Matej Hoffmann and Shubhan Parag Patni
9. The Embodied Future of Robotics
David Howard
Section III: Adaptation, Morphology, and Emergence
10. Morphological Pre-training: Adaptation from the Inside Out
Josh Bongard
11. Exploring Cognition through Morphological Info-computational Framework
Gordana Dodig-Crnkovic
12. Embodied AI Based on Dynamic Human-Computer Interaction
Dobromir Dotov and Tom Froese
Section IV: Emotion, Learning, and Embodied Interaction
13. Emotion Modeling and its Embodiment in Transition
Nutchanon Yongsatianchot, Tobias Thejll-Madsen Hensel and Stacy Marsella
14. Embodying Emotions in Autonomous and Social Robots: Homeostasis, Hormones, Interaction, and Embodied AI
Lola Cañamero
15. AI Designer, Know Thyself! – What We Learn about Human Intelligence through Building Artificial Intelligence
Dor Abrahamson, Marcelo Worsley, and Zachary A. Pardos
Section V: Embodied Intelligence-Unifying Principles
16. Embodied Artificial Intelligence: Enabling the Next Intelligence Revolution
Josie Hughes, Arsen Abdulali, Ryman Hashem, and Fumiya Iida
17. Diverse Intelligence: The Space of Possible Minds Commentary
Michael Levin
18. Conclusion
Sheila L. Macrine, Jennifer M.B. Fugate, Arsen Abdulali, and Josie Hughes
Contributors
Index
Foreword
Fumiya Iida, Cambridge University
Preface
Acknowledgments
Introduction
Sheila L. Macrine, Jennifer M.B. Fugate, Arsen Abdulali, and Josie Hughes
Section I: Philosophical and Theoretical Foundations
1. Convergences of Human and Artificial Embodied Perspectives
Sheila L. Macrine and Jennifer M.B. Fugate
2. Artificial Selves: Robodiment and Narrative Identity in Robots
Shaun Gallagher
3. The Thirty Years’ War on Representations and Active Inference Westphalia
Axel Constant, Andy Clark, and Karl Friston
4. Predictive Processing: From Sensorimotor Skills to Higher Cognition
Giovanni Pezzulo, Thomas Parr, and Karl Friston
Section II: Embodied Artificial Intelligence
5. Advantages of Ecological AI
Alex Kiefer, Mahault Albarracin, and Conor Heins
6. Grounded, Embodied, and Situated Intelligence in Humans and Artificial Agents
Carlotta Zona, Martin Fischer, and Alex Miklashevsky
7. Embodied Cognition and Strong AI
Larry Shapiro and Francesco Bianchini
8. Embodied AI in Machine Learning – Is it Really Embodied?
Matej Hoffmann and Shubhan Parag Patni
9. The Embodied Future of Robotics
David Howard
Section III: Adaptation, Morphology, and Emergence
10. Morphological Pre-training: Adaptation from the Inside Out
Josh Bongard
11. Exploring Cognition through Morphological Info-computational Framework
Gordana Dodig-Crnkovic
12. Embodied AI Based on Dynamic Human-Computer Interaction
Dobromir Dotov and Tom Froese
Section IV: Emotion, Learning, and Embodied Interaction
13. Emotion Modeling and its Embodiment in Transition
Nutchanon Yongsatianchot, Tobias Thejll-Madsen Hensel and Stacy Marsella
14. Embodying Emotions in Autonomous and Social Robots: Homeostasis, Hormones, Interaction, and Embodied AI
Lola Cañamero
15. AI Designer, Know Thyself! – What We Learn about Human Intelligence through Building Artificial Intelligence
Dor Abrahamson, Marcelo Worsley, and Zachary A. Pardos
Section V: Embodied Intelligence-Unifying Principles
16. Embodied Artificial Intelligence: Enabling the Next Intelligence Revolution
Josie Hughes, Arsen Abdulali, Ryman Hashem, and Fumiya Iida
17. Diverse Intelligence: The Space of Possible Minds Commentary
Michael Levin
18. Conclusion
Sheila L. Macrine, Jennifer M.B. Fugate, Arsen Abdulali, and Josie Hughes
Contributors
Index
Details
| Erscheinungsjahr: | 2026 |
|---|---|
| Genre: | Importe, Technik allg. |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780262053495 |
| ISBN-10: | 0262053497 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Fugate, Jennifer M. B.
Macrine, Sheila L. |
| Redaktion: |
Sheila L. Macrine
Jennifer M.B. Fugate Arsen Abdulali Josie Hughes |
| Hersteller: | MIT Press Ltd |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 152 x 229 x 37 mm |
| Von/Mit: | Jennifer M. B. Fugate (u. a.) |
| Erscheinungsdatum: | 23.06.2026 |
| Gewicht: | 0,57 kg |
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