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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Programa Especializado - Mind and MachineUniversidad de Colorado en BoulderAcerca de este Curso
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Curso 1 de 4 en
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Nivel principiante
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 4 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Colorado en Boulder
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.
Programa - Qué aprenderás en este curso
1 hora para completar
Introduction
This week we will explore the history of automata and machines imitating life.
1 hora para completar
1 video (Total 18 minutos)
1 video
1 ejercicio de práctica
Introduction10m
4 horas para completar
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.
4 horas para completar
1 video (Total 34 minutos), 5 lecturas, 5 cuestionarios
1 video
5 lecturas
Please excuse video interference10m
"Computing Machinery and Intelligence" by A.M. Turing10m
"Minds, brains, and programs" by John Searle10m
Visual Turing test10m
Musical Turing Test10m
4 ejercicios de práctica
Turing Test10m
Content Quiz - Searle5m
Your Results5m
Did you guess right?30m
1 hora para completar
A Hard Problem
For the next two weeks, we will discuss how our understanding of cognition leads to differing definitions of problems.
1 hora para completar
1 video (Total 19 minutos), 1 lectura, 1 cuestionario
1 video
1 lectura
"The Nature of Mental States" by Hilary Putnam10m
1 ejercicio de práctica
The Mind as Software15m
3 horas para completar
Cognitive Problems in Computational Terms
We will continue discussing how our understanding of cognition leads to differing definitions of problems.
3 horas para completar
3 videos (Total 80 minutos), 2 lecturas, 3 cuestionarios
3 videos
What Makes a Problem Hard, Part 235m
What Makes a Problem Hard, Part 322m
2 lecturas
Please excuse video interference10m
Exponential Growth and Decay20m
3 ejercicios de práctica
What Makes a Problem Hard?15m
Basic Computational Problem Solving10m
The Traveling Salesman10m
Reseñas
Principales reseñas sobre WHAT IS “THE MIND” AND WHAT IS ARTIFICIAL INTELLIGENCE?
por AM7 de ago. de 2020
Very interesting course with a basic level. Topics are addressed in a very general way. Topics are of philosophical importance and motivates you to think more about them.
por MB1 de jun. de 2020
Really good course. Absolutely loved it! The last week's content was difficult to understand. But overall, it was an insightful journey. Definately recommend it :)
por H25 de may. de 2020
This gives a decent overview and a starter towards interests in Computational Cognition, giving necessary background in the evolution of the research area.
por TJ5 de may. de 2020
Gives you a lot to think about. A great introduction to thinking about computational complexity and the mind vs the machine.
Acerca de Programa especializado: Mind and Machine
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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