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Josh Bradshaw

dblp:183/0929 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › task allocation
dynamic task allocation		 0.212016
Dynamic Task Allocation Algorithm for Hiring Workers that Learn · IJCAI 2016
Knowledge, reasoning and agents › Multi-agent systems
task allocation		 0.212016
Dynamic Task Allocation Algorithm for Hiring Workers that Learn · IJCAI 2016
YearPublicationVenuePosition
2016 Dynamic Task Allocation Algorithm for Hiring Workers that Learn
Shengying Pan, Kate Larson, Josh Bradshaw, Edith Law
 IJCAI3