Generalized Task Markets for Human and Machine Computation

Dafna Shahaf, Eric Horvitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Scopus citations


We discuss challenges and opportunities for developing generalized task markets where human and machine intelligence are enlisted to solve problems, based on a consideration of the competencies, availabilities, and pricing of different problem-solving resources. The approach couples human computation with machine learning and planning, and is aimed at optimizing the flow of subtasks to people and to computational problem solvers. We illustrate key ideas in the context of Lingua Mechanica, a project focused on harnessing human and machine translation skills to perform translation among languages. We present infrastructure and methods for enlisting and guiding human and machine computation for language translation, including details about the hardness of generating plans for assigning tasks to solvers. Finally, we discuss studies performed with machine and human solvers, focusing on components of a Lingua Mechanica prototype.

Original languageAmerican English
Title of host publicationProceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010
PublisherAAAI Press
Number of pages8
ISBN (Electronic)9781577354642
StatePublished - 15 Jul 2010
Externally publishedYes
Event24th AAAI Conference on Artificial Intelligence, AAAI 2010 - Atlanta, United States
Duration: 11 Jul 201015 Jul 2010

Publication series

NameProceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010


Conference24th AAAI Conference on Artificial Intelligence, AAAI 2010
Country/TerritoryUnited States

Bibliographical note

Funding Information:
The authors thank Vikram Dendi, Paul Koch, Raman Sarin, Paul Newson and Tommy A. Bros-man for their assistance on the Lingua Mechanica project.

Publisher Copyright:
© 2010, Association for the Advancement of Artificial Intelligence ( All rights reserved.


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