Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories of concepts and cognitive development, and moreover, the causal learning mechanisms it has uncovered go dramatically beyond the traditional mechanisms of both nativist theories, such as modularity theories, and empiricist ones, such as association or connectionism.
Alison Gopnik & Laura Schulz
Causal Learning [EPUB ebook]
Psychology, Philosophy, and Computation
Causal Learning [EPUB ebook]
Psychology, Philosophy, and Computation
购买此电子书可免费获赠一本!
语言 英语 ● 格式 EPUB ● ISBN 9780190208264 ● 编辑 Alison Gopnik & Laura Schulz ● 出版者 Oxford University Press ● 发布时间 2007 ● 下载 6 时 ● 货币 EUR ● ID 3059253 ● 复制保护 Adobe DRM
需要具备DRM功能的电子书阅读器