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Humans and Machines: Nature of Learning and Learning of Nature

Humans and Machines: Nature of Learning and Learning of Nature

Hélène Hagège, Christopher Dartnell, Éric Martin, Jean Sallantin
Copyright: © 2010 |Pages: 22
ISBN13: 9781605669021|ISBN10: 1605669024|ISBN13 Softcover: 9781616924140|EISBN13: 9781605669038
DOI: 10.4018/978-1-60566-902-1.ch005
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MLA

Hagège, Hélène, et al. "Humans and Machines: Nature of Learning and Learning of Nature." Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence, edited by Yingxu Wang, IGI Global, 2010, pp. 71-92. https://doi.org/10.4018/978-1-60566-902-1.ch005

APA

Hagège, H., Dartnell, C., Martin, É., & Sallantin, J. (2010). Humans and Machines: Nature of Learning and Learning of Nature. In Y. Wang (Ed.), Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence (pp. 71-92). IGI Global. https://doi.org/10.4018/978-1-60566-902-1.ch005

Chicago

Hagège, Hélène, et al. "Humans and Machines: Nature of Learning and Learning of Nature." In Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence, edited by Yingxu Wang, 71-92. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-902-1.ch005

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Abstract

Old and recent theories stress that any understanding of the processes by which humans can learn requires to fully appreciate the relationships between the “nature of learning” and the “learning of nature.” From a constructivist viewpoint, acquiring knowledge is, like any human activity, dissociable neither from its underlying project nor from the knowing subject. The authors of this chapter relate the lessons from philosophy, psychology, didactics and ethics to their work in computational scientific discovery that aims at empowering learning machines with the task of assisting human researchers (Dartnell, Martin, Hagège, & Sallantin, 2008). The chapter concludes with didactical and ethical considerations.

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