Hi! I'm Zory Zhang,
Here is my resumé:
Hope you like here >_<
You’re very welcome to reach out and talk about anything!
Me @Hong Kong West Kowloon Cultural District, 2022 Jan
I attempt to computationally characterize and model human learning and reasoning by asking what it takes to build (reverse engineering) a human-like (artificial) cognitive system: A system that can learn sample-efficiently and incrementally without catastrophic forgetting and flexibly generalize during performance.
I believe that reasoning is not only a performance task but also helps learning, i.e. reasoning to learn (Reason2Learn). Given prior belief in nearby domains, humans can learn so much from so few exposure to a novel domain. This mission bridges artificial intelligence and computational cognitive science, producing a flexible, explainable and persuasive system as a byproduct. My toolkit includes hierarchical concept formation (COBWEB), schema induction (LISA) and explanation-based learning (EBL) for human-like learning, analogical reasoning and “neuro-symbolic” architecture for human-like inference, as well as employing formal mathematics theorem proving as a playground to study cognition.
PREPRINTS
Writing is the process through which ideas are produced and refined.
In this space, I will post blogs that contain mostly my original articulation, therefore prioritized over other pages on my website, which are mainly notes.