Herding the Crowd: Automated Planning for Crowdsourced Planning

Authors

  • Kartik Talamadupula Arizona State University
  • Subbarao Kambhampati Arizona State University
  • Yuheng Hu Arizona State University
  • Tuan Nguyen Arizona State University
  • Hankz Zhuo Sun Yat-sen University, Guangzhou, China

DOI:

https://doi.org/10.1609/hcomp.v1i1.13128

Keywords:

crowdsourcing, planning, artificial intelligence, plan recognition, human computation

Abstract

An important application of human computation is crowdsourced planning and scheduling. In this paper, we present an architecture for an automated system that can significantly improve the effectiveness of the crowd in collaborating and coming up with effective plans by herding it. We define two main problems that have to be solved when designing such automated crowd-herding systems: interpretation, and steering; and discuss how automated planning techniques can be used to solve these problems.

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Published

2013-11-03

How to Cite

Talamadupula, K., Kambhampati, S., Hu, Y., Nguyen, T., & Zhuo, H. (2013). Herding the Crowd: Automated Planning for Crowdsourced Planning. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1(1), 70-71. https://doi.org/10.1609/hcomp.v1i1.13128

Issue

Vol. 1 (2013): First AAAI Conference on Human Computation and Crowdsourcing

Section

Works in Progress