Probability and Causality in Human Cognition

Have you ever wondered how your brain navigates an uncertain world or determines why events occur? This course provides a foundational understanding of how probability and causality underpin human thought, from basic perception to complex decision-making. You will gain insight into the cognitive mechanisms that allow us to predict, learn, and reason about the world around us. What you'll learn: * Understand core concepts of probability theory as applied to human cognition. * Explore how humans perceive and process uncertainty in daily life. * Grasp the fundamental principles of causal reasoning and inference. * Apply basic models to analyze how we learn cause-effect relationships. * Identify common cognitive biases that influence probabilistic judgments. * Learn how computational frameworks, such as basic causal graphs, model human reasoning. This course begins with an introduction to key terminology and foundational principles of probability and causality. It then progresses through how these concepts manifest in human perception, learning, and decision-making, integrating historical context with modern cognitive science perspectives. This course is designed for absolute beginners with no prior experience in cognitive science, probability theory, or artificial intelligence. Begin your journey into the fascinating interplay of mind, chance, and causation.