Mind and Machine

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.

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, 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.

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.