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Jordan Zlatev and Christian Balkenius Introduction: Why "epigenetic robotics"? incollection Epigenetic robotics emerges from the convergence of developmental psychology and robotics, grounded in the principle that intelligence requires embodiment, physical and social situatedness, and a prolonged developmental process. This interdisciplinary approach emphasizes the emergence of complex cognitive structures through environmental interaction rather than through pre-defined genetic or algorithmic programming. By integrating Piagetian sensorimotor theories with Vygotskian social perspectives, the field utilizes robotic implementations to refine and evaluate psychological models of learning, joint attention, and imitation. Research in this area examines the transition from basic associative learning to symbolic processing, investigating how social awareness and affect contribute to communicative competence. However, fundamental questions remain regarding the nature of embodiment, the possibility of achieving strong artificial intelligence, and the necessity of intersubjectivity for true cognitive development. These inquiries challenge the boundaries between biological organisms and artificial systems, focusing on whether machines can transcend mere simulation to achieve genuine autonomy and intentionality. – AI-generated abstract.

Introduction: Why "epigenetic robotics"?

Jordan Zlatev and Christian Balkenius

In Christian Balkenius et al. (ed.) Proceedings of the 1st International Workshop on Epigenetic Robotics, 2004

Abstract

Epigenetic robotics emerges from the convergence of developmental psychology and robotics, grounded in the principle that intelligence requires embodiment, physical and social situatedness, and a prolonged developmental process. This interdisciplinary approach emphasizes the emergence of complex cognitive structures through environmental interaction rather than through pre-defined genetic or algorithmic programming. By integrating Piagetian sensorimotor theories with Vygotskian social perspectives, the field utilizes robotic implementations to refine and evaluate psychological models of learning, joint attention, and imitation. Research in this area examines the transition from basic associative learning to symbolic processing, investigating how social awareness and affect contribute to communicative competence. However, fundamental questions remain regarding the nature of embodiment, the possibility of achieving strong artificial intelligence, and the necessity of intersubjectivity for true cognitive development. These inquiries challenge the boundaries between biological organisms and artificial systems, focusing on whether machines can transcend mere simulation to achieve genuine autonomy and intentionality. – AI-generated abstract.

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