Mind and Machine

University of Colorado Boulder

This specialization delves into the intricate relationship between human cognition and artificial intelligence, offering a comprehensive exploration of the evolving techniques and ideas in the field. Through a multidisciplinary approach encompassing cognitive psychology, machine learning, neuroscience, and game theory, learners will gain insight into the transformative impact of artificial intelligence on our understanding of human thinking.

Throughout the course, participants will:

  • Develop connections between human and artificial minds in cognitive science.
  • Explore diverse research disciplines related to cognitive science, such as computer science, psychology, and neuroscience.
  • Understand and apply cognitive science principles to enhance their own understanding of the mind.

Guided by the University of Colorado Boulder, this specialized program offers a thought-provoking journey that surveys historical shifts and contemporary debates in the realm of cognitive science and artificial intelligence.

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Mind and Machine
Course Modules

This course comprises four modules that investigate the intricate relationship between human cognition and artificial intelligence, addressing topics such as the Turing test, problem-solving techniques, computational vision, and evolutionary perspectives of the mind.

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

The first module delves into the fundamental question of defining “the mind” and understanding artificial intelligence. It examines pivotal concepts such as the Turing test and Searle’s Chinese Room thought experiment, illuminating their limitations and potential impact. Additionally, learners will explore attempts to create artificial systems that can pass the Turing Test in various domains, along with an analysis of exponential and factorial growth functions.

Methods for Solving Problems

Module two focuses on problem-solving methodologies, distinguishing between human and computational problems and elucidating various problem-solving techniques. It delves into the effects of bias in judgment and decision-making, while also emphasizing the application of heuristic models and probability modeling in decision-making scenarios.

Computational Vision

Computational Vision, the third module, explores models of human and machine vision, addressing their limitations and applications. It also covers the geon model of object recognition, the perspectives of mental imagery, and the neural network models of artificial intelligence, including single-layer and multi-layer perceptron models.

Interpersonal, Developmental, and Evolutionary Perspectives of the Mind

The final module delves into interpersonal, developmental, and evolutionary perspectives of the mind, modeling the effects of multiple decision-maker systems and analyzing scenarios such as the Prisoner’s Dilemma from a game theory perspective. It also explores the relationships in genetic evolution models and developmental models of judgment and decision-making, culminating in the design of autonomous agents as artificial life.

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