NDLI: Distributed stochastic resource allocation in teams

Content Provider	IEEE Xplore Digital Library
Author	Miao, X. Luh, P.B. Kleimnman, D.L. Castanon, D.A.
Copyright Year	1971
Abstract	Consideration is given to distributed dynamic resource allocation within a two-person team. Having different but overlapping responsibilities, two geographically separated human decision-makers (DMs) are to process multiple types of randomly arriving tasks with a set of renewable resources. To maximize the team reward for task processing, the DMs must coordinate on the assignment of common tasks (tasks of joint responsibility) and on the transfer of resources. A normative-descriptive approach is adopted to describe the human decision-making process in the above setting. The approach starts with a normative model that predicts the team's optimal decision-making and a human-in-the-loop experiment that generates experimental data. Human limitations and cognitive biases are then identified to explain differences between model predictions and experimental data. Incorporating human limitations and cognitive biases into the normative model, a normative-descriptive model is obtained. This model matches experimental data in almost all measures and provides insights to human decision-making behavior.<>
Starting Page	61
Ending Page	70
Page Count	10
File Size	1045401
File Format	PDF
ISSN	00189472
Volume Number	21
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Resource management Humans Decision making Delta modulation Predictive models Psychology Delay effects Systems engineering and theory Decision theory
Content Type	Text
Resource Type	Article
Subject	Engineering

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