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David Quigley

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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What's inside

Four courses

What is “the mind” and what is artificial intelligence?

In this course, we will explore the history of cognitive science and how these ideas shape our understanding of artificial cognition.

Methods for Solving Problems

In this course, we will explore different types of problems, their solvability, and the algorithms, rules, and heuristics we can use to solve them.

Computational Vision

In this course, we will explore models that address various vision tasks and how these explorations lead to more complex computational models of understanding.

Interpersonal, Developmental, and Evolutionary Perspectives of the Mind

In this course, we will examine how interpersonal and developmental factors impact individual problem solving, judgment, and decision making.

Learning objectives

  • Develop connections between our understanding of human minds and artificial minds in the field of cognitive science.
  • Discover and synthesize research in various disciplines related to cognitive science (e.g. computer science, psychology, neuroscience).
  • Connect cognitive science principles and ideas to your own understanding.

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