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Probability and Causality in Human Cognition

Probability theory captures a number of essential characteristics of human cognition, including aspects of perception, reasoning, belief revision, and learning. Expressions of degree of belief were used in language long before people began codifying the laws of probability theory. This course explores the history and debates over codifying the laws of probability, how probability theory applies to specific cognitive processes, how it relates to the human understanding of causality, and how ne...

Start Date: Feb 01, 2003 Topics: Artificial Intelligence, General History, Cognitive Science
Cost: Free

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Overview

Description

Probability theory captures a number of essential characteristics of human cognition, including aspects of perception, reasoning, belief revision, and learning. Expressions of degree of belief were used in language long before people began codifying the laws of probability theory. This course explores the history and debates over codifying the laws of probability, how probability theory applies to specific cognitive processes, how it relates to the human understanding of causality, and how new computational approaches to causal modeling provide a framework for understanding human probabilistic reasoning.This class is suitable for advanced undergraduates or graduate students specializing in cognitive science, artificial intelligence, and related fields.

Details

  • Dates: Feb 01, 2003 to May 25, 2003
  • Days of the Week: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
  • Level of Difficulty: Advanced
  • Size: Massive Open Online Course
  • Instructor: Prof. Joshua Tenenbaum
  • Cost: Free
  • Institution: MIT OCW
  • Topics: Artificial Intelligence, General History, Cognitive Science

Provider Overview

About MIT OCW: MIT OpenCourseWare (OCW) is a web-based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.

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