At a high level, I'm broadly interested in the human comprehension process. This question involves, (1) How do we encode the physical world around us and abstract objects and construct corresponding representations? (2) How do we extract, correlate, and organize these representations efficiently and flexibly to construct a proposition with internal attitude and belief? (3) How do we construct a representation of a proposition this includes how to represent the causal structure of the world and integrate these representations with our model of the world to determine our beliefs and actions.
Moreover, I'm also interested in computational model…
At a high level, I'm broadly interested in the human comprehension process. This question involves, (1) How do we encode the physical world around us and abstract objects and construct corresponding representations? (2) How do we extract, correlate, and organize these representations efficiently and flexibly to construct a proposition with internal attitude and belief? (3) How do we construct a representation of a proposition this includes how to represent the causal structure of the world and integrate these representations with our model of the world to determine our beliefs and actions.
Moreover, I'm also interested in computational modeling of reasoning. This question involves, (1) How can intelligence be computationally based? (2) How to develop a computational model that formally and computationally models information processing and reasoning processes in human minds? (3) How to develop a computational model that deals with information about beliefs and makes decisions like human minds?
As such, I have studied philosophy, logic, linguistics, psychology, and machine learning extensively, and work in their intersection.
