Overview
This week explores the fascinating field of Cognitive Reasoning in AI, focusing on how machines can mimic human-like reasoning processes. We’ll delve into various aspects of cognitive reasoning, including physical reasoning, social reasoning, communication, and abstract learning.
Instructor
Yixin Zhu, PKU
Topics Covered
- Physical reasoning in AI systems
- Social reasoning and its applications
- Concept learning
- Communication in AI
- The importance of reading and thinking in AI
Assignments
In this assignment, you shall read recommended reading materials and write a paper. This assignment is designed to challenge you to engage deeply with foundational and cutting-edge concepts in AI and cognitive science. It encourages you to think critically about the evolution of AI theories and their practical applications.
Practice Assignment: Your paper should be at least 4 pages (not including references).
Written Assignment: Your paper should be at least 2 pages (not including references).
Assignment: Cognitive Reasoning
Additional Resources
- Bayesian Reasoning and Machine Learning by David Barber
- Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
- The Society of Mind by Marvin Minsky
- How the Mind Works by Steven Pinker
Notes
- This module builds on concepts from previous weeks.
- For the practice assignment, focus on the reasoning process rather than complex implementations.
- In your written assignment, consider both the current state of cognitive reasoning in AI and potential future developments.
- As always, document your code thoroughly and use version control (Git) for your project.
- Submit your assignments on GitHub Classroom.