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Epigenetic robotics―modelling cognitive development in robotic systems

机译:表观遗传学机器人-模拟机器人系统中的认知发展

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In their introduction to the first International Workshop on Epigenetic Robotics, Zlatev and Balkenius (2001) suggested the term epigenetic robotics to denote a new field of research resulting from the mutual rapprochement of developmental psychology and robotics, with a focus on the prolonged epigenetic developmental process through which increasingly more complex cognitive structures emerge in the system as a result of interactions with the physical and social environment. In principle, both developmental psychology and robotics should benefit from cross-disciplinary exchanges. Indeed, development involves interaction with the environment―be it social interaction (see, e.g. Vygotsky 1978) or sensorimotor interaction (see, e.g. Piaget 1945)―and certainly, the construction of systems that can physically and socially interact with the world and other agents living in it should help formalize what otherwise often remains descriptive evidence, or simple curve fitting. Building robotic models of cognitive development requires the specification and implementation of the supposed underlying mechanisms. Assuming that the plausibility of a proposed model can be demonstrated―by providing possible explanations for the data available and by being accurate in a wide range of developmentally valid constraints―its existence can provide a useful explanatory component and thus contribute to the validation and further development of theoretical foundations.
机译:Zlatev和Balkenius(2001)在第一届表观遗传机器人国际研讨会的介绍中,提出表观遗传机器人一词代表了发展心理学和机器人技术的相互融合所引起的新研究领域,重点是延长了表观遗传学的发展过程通过与物理和社会环境的相互作用,系统中出现越来越复杂的认知结构。原则上,发展心理学和机器人技术都应受益于跨学科交流。的确,发展涉及与环境的相互作用,无论是社会相互作用(例如,Vygotsky 1978)还是感觉运动相互作用(例如,Piaget 1945),当然也包括可以与世界和其他主体进行身体和社会相互作用的系统的构建。生活在其中应该有助于形式化那些通常仍然是描述性证据或简单曲线拟合的东西。建立认知发展的机器人模型需要规范和实施假定的潜在机制。假设可以通过提供可用数据的解释并在广泛的开发有效约束条件下保持准确来证明所提出模型的合理性,则其存在可以提供有用的解释成分,从而有助于验证和进一步开发理论基础。

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