Interpersonal, Developmental, and Evolutionary Perspectives of the Mind

  • 4.3
Approx. 13 hours to complete

Course Summary

Explore the intersection of minds and machines in this fascinating course that covers topics like artificial intelligence, cognitive science, and neuroscience.

Key Learning Points

  • Gain a deeper understanding of the relationship between the human mind and artificial intelligence
  • Explore the ethical implications of developing machines with intelligence
  • Learn about the latest research in artificial intelligence, cognitive science, and neuroscience

Job Positions & Salaries of people who have taken this course might have

    • USA: $120,000
    • India: ₹1,200,000
    • Spain: €45,000
    • USA: $120,000
    • India: ₹1,200,000
    • Spain: €45,000

    • USA: $82,000
    • India: ₹800,000
    • Spain: €30,000
    • USA: $120,000
    • India: ₹1,200,000
    • Spain: €45,000

    • USA: $82,000
    • India: ₹800,000
    • Spain: €30,000

    • USA: $95,000
    • India: ₹1,000,000
    • Spain: €35,000

Related Topics for further study


Learning Outcomes

  • Understand the concepts and principles of artificial intelligence, cognitive science, and neuroscience
  • Evaluate the ethical implications of developing machines with intelligence
  • Apply the knowledge gained in this course to real-world scenarios

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of computer programming
  • Familiarity with basic principles of psychology and neuroscience

Course Difficulty Level

Intermediate

Course Format

  • Video Lectures
  • Quizzes
  • Assignments

Similar Courses

  • The Ethics of AI
  • Brain and Cognitive Sciences

Related Education Paths


Notable People in This Field

  • Elon Musk
  • Demis Hassabis

Related Books

Description

In this course, we will explore how individual problem solving, judgment, and decision making can be influenced by interpersonal and developmental factors.

Knowledge

  • 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.

Outline

  • Introduction
  • Multiple Deciding Agents - A Simple Model
  • Multiple Deciding Agents
  • Game Theory
  • Game Theory: Prisoner's Dilemma
  • Game Theory: Axelrod's Tournament
  • Games "In the Large"
  • Prisoner's Dilemma
  • Strategies
  • Scale and Complexity
  • Game Theory and Evolution
  • Game Theory & Evolution Part 1
  • Game Theory & Evolution Part 2
  • Evolution & Cognitive Science
  • Infant & Child Cognition
  • Optional: Encyclopedia Entry for Evolutionary Game Theory
  • Evolutionary Psychology: A Primer
  • Game Theoretic Evolution
  • “Bourgeois” Strategy
  • Embodied Cognition
  • Embodied Cognition
  • Artificial Animals
  • ***Optional: The Mind Expanding Ideas of Andy Clark
  • Experiments in Synthetic Psychology
  • ***Animals teach Robots to find their way

Summary of User Reviews

Learn about the intersection of mind and machine with Mind, Machine, and Perspectives. This course provides an overview of the field and covers key topics such as artificial intelligence, cognitive neuroscience, and human-computer interaction. Learners praised the course for its engaging lectures and thought-provoking content.

Key Aspect Users Liked About This Course

engaging lectures

Pros from User Reviews

  • Engaging lectures
  • Thought-provoking content
  • Well-structured course
  • Great introduction to the field
  • Excellent resources provided

Cons from User Reviews

  • Some technical concepts may be difficult to grasp
  • Not enough hands-on exercises
  • Lack of interaction with instructors
  • Some lectures can be repetitive
  • Course may be too basic for some learners
English
Available now
Approx. 13 hours to complete
David Quigley
University of Colorado Boulder
Coursera

Instructor

David Quigley

  • 4.3 Raiting
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