Multiagent Environment Design in Human Computation

This research explores human computation systems as a multi-agent platform for coordinating human brain power. We are interested in the problem of designing human computation systems. In particular, we focus on the situation where developers cannot re-design the whole platform but can only make limited changes to the environments. We extend the framework of environment design to multiple agent in the context of human computation. To incorporate the collective information from multiple agents, we propose two approaches, agent type elicitation and collaborative filtering, under different assumptions. The formulation and algorithms provide solutions for developers in human computation systems to find the environment settings maximizing their goal functions.

Authors

• Chien-Ju Ho
• Yen-Ling Kuo Department of Computer Science, University of Virginia
• Jane Yung-jen Hsu Department of Artificial Intelligence, Chang Gung University & National Taiwan University

Keywords

• Human Computation
• Environment Design
• Collaborative Filtering