معرفی
James An is a Lecturer in Law at Stanford Law School (SLS) and a Teaching Fellow in the LLM Program in Corporate Governance & Practice. He holds the email jamesan@stanford.edu and is based at Crown Quadrangle, 559 Nathan Abbott Way, Stanford, CA 94305-8610. His research focuses on interdisciplinary applications of artificial intelligence, cognitive science, and neural networks, with particular emphasis on systematic generalization, neural network behavior, and human learning mechanisms. He teaches courses like the Corporate Governance and Practice Seminar.
Research Interests: James An explores the intersection of AI and cognitive systems, investigating how neural networks emulate human learning processes. His work spans topics like emergent symbolic reasoning, in-context learning in transformers, and the cognitive implications of deep learning architectures. Recent studies examine the role of feedback mechanisms, causal reasoning, and memory dynamics in both artificial and biological systems.
Publications Trends: His articles analyze AI's capacity to generalize across structured tasks, mimic human-like reasoning patterns, and model complex cognitive functions such as number representation and causal inference. Key themes include neural network adaptability, representation learning, and the interplay between algorithmic design and cognitive psychology.
Scientific Awards: No awards explicitly mentioned in the provided text.
Advising & Grants: No student advisees or grant details are listed in the available data.
Labs/Teams: No specific lab or collaborative team affiliations are documented here.
