Cognitive science approaches the study of mind and intelligence from an interdisciplinary perspective, working at the intersection of philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. With Mind, Paul Thagard offers an introduction to this interdisciplinary field for readers who come to the subject with very different backgrounds. It is suitable for classroom use by students with interests ranging from computer science and engineering to psychology and philosophy.Thagard's systematic descriptions and evaluations of the main theories of mental representation advanced by cognitive scientists allow students to see that there are many complementary approaches to the investigation of mind. The fundamental theoretical perspectives he describes include logic, rules, concepts, analogies, images, and connections (artificial neural networks). The discussion of these theories provides an integrated view of the different achievements of the various fields of cognitive science.This second edition includes substantial revision and new material. Part I, which presents the different theoretical approaches, has been updated in light of recent work the field. Part II, which treats extensions to cognitive science, has been thoroughly revised, with new chapters added on brains, emotions, and consciousness. Other additions include a list of relevant Web sites at the end of each chapter and a glossary at the end of the book. As in the first edition, each chapter concludes with a summary and suggestions for further reading.
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认知科学的中心假设：对思维最恰当的理解，是将其视为心智中的表征结构以及在这些结构上进行操作的计算程序。这一假说成为CRUM(computational-representational understanding of Mind)。这一假说主要是向内的，主要关注人自身,包括联结主义对神经网络的表征和计算。受到自然科学影响，CRUM将会得到扩充，比如动力理论，便于解释人的意识。CRUM将有助于打破二元论的桎梏，为强人工智能以及对人的Mind认识都有质的飞跃。
评分好像没有太多takeaway
评分虽然说的都挺对，但观点呢？一整本mundane唠叨
评分好像没有太多takeaway
评分对照我们老师给本科生的入门课看，发现这个专业连Introduction都有不同的切入点，这本书适合AI方向的。作者指出拓展一下CRUM（Computational-Representational Understanding of Mind），前途还是很光明的。それはどうかな....
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