About this Course

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Shareable Certificate

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Start instantly and learn at your own schedule.

Flexible deadlines

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Beginner Level

Approx. 12 hours to complete

English

Subtitles: English

What you will learn

  • Model the effects of multiple decision maker systems in various scenarios.

  • Analyze the Prisoner’s Dilemma and other Game Theory scenarios as a model of decision making and behavioral adaptation.

  • Discuss the relationships in genetic evolution models and developmental models of judgement and decision making.

  • Implement the design of autonomous agents as artificial life.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 12 hours to complete

English

Subtitles: English

Offered by

University of Colorado Boulder logo

University of Colorado Boulder

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Introduction

1 hour to complete
1 video (Total 23 min)
1 practice exercise
Multiple Deciding Agents5m
Week
2

Week 2

4 hours to complete

Game Theory

4 hours to complete
3 videos (Total 111 min)
3 videos
Game Theory: Axelrod's Tournament26m
Games "In the Large"48m
3 practice exercises
Prisoner's Dilemma15m
Strategies15m
Scale and Complexity10m
Week
3

Week 3

5 hours to complete

Game Theory and Evolution

5 hours to complete
4 videos (Total 166 min), 2 readings, 3 quizzes
4 videos
Game Theory & Evolution Part 229m
Evolution & Cognitive Science59m
Infant & Child Cognition49m
2 readings
Optional: Encyclopedia Entry for Evolutionary Game Theory10m
Evolutionary Psychology: A Primer10m
2 practice exercises
Game Theoretic Evolution10m
“Bourgeois” Strategy15m
Week
4

Week 4

3 hours to complete

Embodied Cognition

3 hours to complete
2 videos (Total 89 min), 3 readings, 1 quiz
2 videos
Artificial Animals46m
3 readings
***Optional: The Mind Expanding Ideas of Andy Clark10m
Experiments in Synthetic Psychology10m
***Animals teach Robots to find their way10m

About the Mind and Machine Specialization

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....
Mind and Machine

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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