AI Academy

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

Instructor: David Quigley Duration: 7 hours to complete
Objective 1 Describe the details of the Turing test, including its purpose, limitations, and potential impact.
Objective 2 Describe the details of Searle’s Chinese Room thought experiment, including its purpose, limitations, and potential impact.
Objective 3 Discuss previous and current attempts to create artificial systems that can pass the Turing Test in various domains.
Objective 4 Compute and outline the limitations of exponential and factorial growth functions.
Computational Thinking
Theoretical Computer Science
Artificial Intelligence
Test Case
Psychology
Human Machine Interfaces

Methods for Solving Problems

Instructor: David Quigley Duration: 6 hours to complete
Objective 1 Ascribe human and computational problems to various definitions of difficulty and problem solving techniques.
Objective 2 Use problem solving strategies to break down problems.
Objective 3 Describe the effects of various sources of bias in judgement and decision making.
Objective 4 Analyze and apply heuristic models and probability modeling to a variety of decision making scenarios.
Analytical Skills
Logical Reasoning
Problem Solving
Probability Distribution
Psychology
Algorithms
Behavioral Economics
Computational Thinking

Computational Vision

Instructor: David Quigley Duration: 8 hours to complete
Objective 1 Apply various models of human and machine vision and discuss their limitations.
Objective 2 Demonstrate the geon model of object recognition and its limitations.
Objective 3 Argue the benefits and drawbacks of the symbolist and visualist perspectives of mental imagery.
Objective 4 Recognize the single layer and multi-layer perceptron neural network models of artificial intelligence.
Artificial Neural Networks
Deep Learning
Computer Graphics
Psychology
Computational Thinking
Image Analysis
Computer Vision
Artificial Intelligence and Machine Learning (AI/ML)

Interpersonal, Developmental, and Evolutionary Perspectives of the Mind

Instructor: David Quigley Duration: 1 week to complete at 10 hours a week
Objective 1 Model the effects of multiple decision maker systems in various scenarios.
Objective 2 Analyze the Prisoner’s Dilemma and other Game Theory scenarios as a model of decision making and behavioral adaptation.
Objective 3 Discuss the relationships in genetic evolution models and developmental models of judgement and decision making.
Objective 4 Implement the design of autonomous agents as artificial life.
Psychology
Artificial Intelligence
Human Factors
Simulations
Game Theory
Sociology
Mathematical Modeling
Behavioral Economics
Anthropology
Human Development
Artificial Intelligence and Machine Learning (AI/ML)