Syllabus & Logistics

Logistics

Objectives

• understand the significance of commonsense in modern AI
• master basic knowledge of cognitive science for modern AI
• derive statistical computational models of commonsense to solve challenging AI problems
• code and build complex system to model certain aspect(s) of commonsense

Prerequisites

• basic knowledge of statistics, e.g., Bayes rule
• comfortable with programming in Linux using modern deep learning libraries
• excellent English skills for reading literature, presentation, and writing homework and reports
• familiar with LateX for writing homework and reports

Grading

• strict rule: no late submission will be accepted after the due date
• attendance: 1% $\times$ 15 weeks = 15%
• paper presentation (in English): 20%
• essay (in English): 3% $\times$ 10 topics = 30%
• project presentation (in English): 25%
• project report (in English and LaTeX): 10%

Essay (30%)

• team: 1 student; work alone
• duration: 1 week after each lecture
• topic: choose one from each lecture, 10 in total
• grading: 3 points per essay
• delivery: essay (2 pages minimal) in LaTeX, written in English

Paper Presentation (20%)

• team: 2-4 students
• duration: up to the presentation session
• topic: choose papers listed in one of the 10 topics and additional papers at your own choice
• note: no need to cover all the listed papers, but need to convey a coherent message during the presentation
• delivery: presentation, in English

Project (35%)

• team: 2-4 students, usually the same team as for the paper presentation
• duration: the entire semester
• topic: choose one listed on the project page (see also the instructions); topics are exclusive among teams; reserve online
• delivery:
  1. presentation in English
  2. technical report in top conference quality that includes
  • insights of the problem
  • related work / literature review
  • major components of the systems of algorithms
  • technical details, e.g., learning, training, parameters
  • experimental results
  3. publicly available code, e.g., on GitHub

Plagiarism

• please refer to the plagiarism page for details.

Errata/Typo

• please contact the instructor or TA

Acknowledgement

This course is made possible by a group of collaborators and students

[22530005/04804023] Syllabus

Introduction

• Week 01/Lecture 01: Introduction & Logistics

Physical Commonsense

• Week 02/Lecture 02: Affordance and Functionality
• Week 03/Lecture 03: Intuitive Physics
• Week 04/Lecture 04: Causality
• Week 05/Lecture 05: Tool, Mirroring, and Imitation
• Week 06/Paper Presentation 1: Physical Commonsense

Social Commonsense

• Week 07/Lecture 06: Nonverbal Communication
• Week 08/Lecture 07: Intentionality
• Week 09/Lecture 08: Animacy and Theory of Mind (ToM)
• Week 10/Paper Presentation 2: Social Commonsense

Advanced Topics

• Week 11/Lecture 09: Abstract Reasoning
• Week 12/Lecture 10: Utility
• Week 13/Lecture 11: Explainable AI and Communication
• Week 14/Paper Presentation 3: Advanced Topics
• Week 15/Project Presentation 1
• Week 16/Project Presentation 2

[04835070] Syllabus

Introduction

• Week 01/Lecture 01
  • Introduction & Logistics

Physical Commonsense

• Week 02/Lecture 02
  • Affordance and Functionality
• Week 02/Lecture 03:
  • Affordance and Functionality (Cont')
  • Intuitive Physics
• Week 03/Lecture 04
  • Intuitive Physics (Cont')
• Week 04/Lecture 05
  • Causality
• Week 04/Lecture 06
  • Causality (Cont')
  • Tool, Mirroring, and Imitation
• Week 05/Lecture 07
  • Tool, Mirroring, and Imitation (Cont')
• Week 06/Paper Presentation 1
  • Physical Commonsense
• Week 06/Paper Presentation 2
  • Physical Commonsense

Social Commonsense

• Week 07/Lecture 08
  • Nonverbal Communication
• Week 08/Lecture 09
  • Nonverbal Communication (Cont')
  • Intentionality
• Week 08/Lecture 10
  • Intentionality (Cont')
• Week 09/Lecture 11
  • Animacy and Theory of Mind (ToM)
• Week 10/Lecture 12
  • Animacy and Theory of Mind (ToM) (Cont')
• Week 10/Paper Presentation 3
  • Social Commonsense
• Week 11/Paper Presentation 4
  • Social Commonsense

Advanced Topics

• Week 12/Lecture 13
  • Abstract Reasoning
• Week 12/Lecture 14
  • Utility
• Week 13/Lecture 15
  • Explainable AI
• Week 14/Lecture 16
  • Communication
• Week 14/Paper Presentation 5
  • Advanced Topics
• Week 15/Paper Presentation 6
  • Advanced Topics
• Week 16/Project Presentation 1
• Week 16/Project Presentation 2

Google Calendar (22Fall)

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