Hi, I am Tianwei Gong.

To learn about intuitive theories we hold conflicting with the reality (at least with up-to-date scientific theories). Also to gain a basic sense of how scientists do infant or child experiments.

A book about how computer algorithms can be applied to our everyday life. Totally understandable even without any algorithm knowledge. A good way to learn some popular concepts in computational cognitive science.

The discovery, reflection, and solution about our failure to "know how little we know about the world". A relative talk from Youtube or Bilibili.

Do robots have minds? It depends! Welcome to the club and hope you enjoy stories from different members.

Recommended by my supervisor Neil. Thanks for let me know how interesting the time is!

How cultures help humans survive.

It is always interesting to argue why humans become different from other animals. Here are some answers.

Various topics you may be interested in.

Summer school courses in MIT, cognitive science, computational approach, containing almost all main areas in cognitive science.

Powerful computational cognitive language created by Noah Goodman, Tenenbaum and the ProbMods contributors.

A blog about how to write academic papers in cognitive science/psychology. My favorite chapter: Resistance.

Best notes!

It remains me why to love Psychology.

Interviews about AI, Neuroscience, Cognitive Psychology.

pop science book. learn about how to judge the causal relationship scientifically (much more than randomizated experiments).

A collection of research about human‘s causal reasoning. Chapters freely available:

• 1.Causal Reasoning: An Introduction (link for chapter 1-5)
• 2.Associative Accounts of Causal Cognition
• 3.Rules of Causal Judgment
• 4.The Inferential Reasoning Theory of Causal Learning
• 5.Causal Invariance as an Essential Constraint for Creating a Causal Representation of the World
• 8.Causal mechanisms
• 9.Force dynamics
• 13.Cognitive Neuroscience of Causal Reasoning
• 27.Intuitive theories
• 29.Causation in Legal and Moral Reasoning
• 31.Causality and causal reasoning in natural language

A talk about counterfactual thinking from Tobias Gerstenberg.