In this course, we will explore the history of cognitive science and the way these ideas shape how we think of artificial cognition.
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课程信息
您将学到的内容有
Describe the details of the Turing test, including its purpose, limitations, and potential impact.
Describe the details of Searle’s Chinese Room thought experiment, including its purpose, limitations, and potential impact.
Discuss previous and current attempts to create artificial systems that can pass the Turing Test in various domains.
Compute and outline the limitations of exponential and factorial growth functions.
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科罗拉多大学波德分校
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
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Introduction
This week we will explore the history of automata and machines imitating life.
Tests and Thought Experiments
This week we will start to define the boundaries of intelligence, understanding, and related ideas from both human and machine perspectives.
A Hard Problem
For the next two weeks, we will discuss how our understanding of cognition leads to differing definitions of problems.
Cognitive Problems in Computational Terms
We will continue discussing how our understanding of cognition leads to differing definitions of problems.
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- 5 stars60.15%
- 4 stars25%
- 3 stars10.93%
- 2 stars2.34%
- 1 star1.56%
来自WHAT IS “THE MIND” AND WHAT IS ARTIFICIAL INTELLIGENCE?的热门评论
This course has been extremely enlightening. Big thanks to Coursera and the University of Colorado, Boulder!
This gives a decent overview and a starter towards interests in Computational Cognition, giving necessary background in the evolution of the research area.
This was a lot of fun and just the right amount of challenging at the end!
I really liked the approach of this course. Thanks a lot!
关于 Mind and Machine 专项课程
This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of “minds” – both biological and computational – has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger “historical” arc of these changes as well as current research directions and controversies.

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