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Accession Number ADA566807
Title Crowdsourcing: A Primer and Its implications for Systems Engineering.
Publication Date Aug 2012
Media Count 12p
Personal Author A. Burnap P. Papalambros R. J. Gerth
Abstract Crowdsourcing is an overarching term that denotes a number of ways to use the web as means to enlist a large number of individuals to perform a particular task. The tasks can range from simply providing an opinion, to contributing material, to solving a problem. Because the term crowdsourcing is used to denote a variety of activities in many different contexts, strong opinions have formed in many minds. This paper is an attempt to inform the reader of the complexity that underlies the simple term 'crowdsourcing.' We then describe the connection between the DARPA Adaptive Vehicle Make program with the potential limitations of crowdsourcing complex tasks using examples from industry. Using these examples, we present a research motivation detailing areas to be improved within current crowdsourcing frameworks. Finally, an agent-based simulation using machine learning techniques is defined, preliminary results are presented, and future research directions are described.
Keywords Combat vehicles
Learning machines
Machine learning
Multiagent systems
Online communities
Systems engineering

Source Agency Non Paid ADAS
NTIS Subject Category 70B - Management Practice
62 - Computers, Control & Information Theory
85 - Transportation
79D - Combat Vehicles
Corporate Author Michigan Univ., Ann Arbor.
Document Type Technical report
Title Note Conference paper.
NTIS Issue Number 1307
Contract Number W56HZV-04-2-0001

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