Learning to search collaboratively: how dyads overcome complexity and misaligned incentives in imper...
Learning to search collaboratively: how dyads overcome complexity and misaligned incentives in imperfect modular decompositions
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Language
English
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Contents
We investigate the search processes that dyads engage in when each human agent is responsible for one module of a complex task. Our laboratory experiment manipulates global vs. local incentives and low vs. high cross-modular interdependence. We find that dyads endogenously learn to coordinate their joint search efforts by engaging in parallel and s...
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Full title
Learning to search collaboratively: how dyads overcome complexity and misaligned incentives in imperfect modular decompositions
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TN_cdi_crossref_primary_10_1093_icc_dtac029
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1093_icc_dtac029
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ISSN
0960-6491
E-ISSN
1464-3650
DOI
10.1093/icc/dtac029
