English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

There has been significant interest in crowdsourcing and human computation.One subclass of human computation applications are those directed at tasks thatinvolve planning (e.g. travel planning) and scheduling (e.g. conferencescheduling). Much of this work appears outside the traditional automatedplanning forums, and at the outset it is not clear whether automated planninghas much of a role to play in these human computation systems. Interestinglyhowever, work on these systems shows that even primitive forms of automatedoversight of the human planner does help in significantly improving theeffectiveness of the humans/crowd. In this paper, we will argue that theautomated oversight used in these systems can be viewed as a primitiveautomated planner, and that there are several opportunities for moresophisticated automated planning in effectively steering crowdsourced planning.Straightforward adaptation of current planning technology is however hamperedby the mismatch between the capabilities of human workers and automatedplanners. We identify two important challenges that need to be overcome beforesuch adaptation of planning technology can occur: (i) interpreting the inputsof the human workers (and the requester) and (ii) steering or critiquing theplans being produced by the human workers armed only with incomplete domain andpreference models. In this paper, we discuss approaches for handling thesechallenges, and characterize existing human computation systems in terms of thespecific choices they make in handling these challenges.

Herding the Crowd: Automated Planning for Crowdsourced Planning