In this course, we will explore the history of cognitive science and the way these ideas shape how we think of artificial cognition.
Este curso forma parte de Programa Especializado - Mind and Machine
What is “the mind” and what is artificial intelligence?
ofrecido por
Acerca de este Curso
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.
Programa - Qué aprenderás en este curso
Semana
11 hora para completar
Introduction
This week we will explore the history of automata and machines imitating life.
1 video (Total 18 minutos), 1 cuestionario
1 video
1 ejercicio de práctica
Introduction10m
Semana
24 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.
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?4m
Semana
31 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 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
Semana
42 horas para completar
Cognitive Problems in Computational Terms
We will continue discussing how our understanding of cognition leads to differing definitions of problems.
3 videos (Total 80 minutos), 1 lectura, 3 cuestionarios
3 videos
What Makes a Problem Hard, Part 235m
What Makes a Problem Hard, Part 322m
1 lectura
Please excuse video interference10m
3 ejercicios de práctica
What Makes a Problem Hard?15m
Basic Computational Problem Solving10m
The Traveling Salesman10m
Instructor
David Quigley
Research AssociateCognitive Science
Acerca de 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.
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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