Computational Methods for Simulating Biased Agents

AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems Auckland New Zealand May, 2020（2020）

引用 0|浏览4

暂无评分

摘要

I present an overview of my research which investigates how models of human behavior can inform the design of new algorithms and interfaces. Specifically, I show how precise, testable computational methods and behavioral experiments can be used to simulate heuristics and bias in human attention and decision making.

查看译文

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要