Participation behavior and social welfare in repeated task allocations

Q.C. Ye; Y. Zhang

doi:10.1109/ICA.2016.030

Participation behavior and social welfare in repeated task allocations

Q.C. Ye, Y. Zhang

Information Systems IE&IS

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Task allocation problems have focused on achieving one-shot optimality. In practice, many task allocation problems are of repeated nature, where the allocation outcome of previous rounds may influence the participation of agents in subsequent rounds, and consequently, the quality of the allocations in the long term. We investigate how allocation influences agents' decision to participate using prospect theory, and simulate how agents' participation affects the system's long term social welfare. We compare two task allocation algorithms in this study, one only considering optimality in terms of costs and the other considering optimality in terms of primarily fairness and secondarily costs. The simulation results demonstrate that fairness incentivizes agents to keep participating and consequently leads to a higher social welfare.

Original language	English
Title of host publication	2016 International Conference on Agents, ICA 2016, 28-30 September 2016, Matsue, Shimane, Japan
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	94-97
Number of pages	4
ISBN (Electronic)	978-1-5090-3931-9
ISBN (Print)	978-1-5090-3932-6
DOIs	https://doi.org/10.1109/ICA.2016.030
Publication status	Published - 2016
Event	2016 IEEE International Conference on Agents (ICA), September 28-30, 2016, Matsue, Shimane, Japan - Matsue, Japan Duration: 28 Sept 2016 → 30 Sept 2016

Conference

Conference	2016 IEEE International Conference on Agents (ICA), September 28-30, 2016, Matsue, Shimane, Japan
Abbreviated title	ICA 2016
Country/Territory	Japan
City	Matsue
Period	28/09/16 → 30/09/16

Keywords

Fairness
Participation behavior
Prospect theory
Repeated task allocation

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10.1109/ICA.2016.030

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title = "Participation behavior and social welfare in repeated task allocations",

abstract = "Task allocation problems have focused on achieving one-shot optimality. In practice, many task allocation problems are of repeated nature, where the allocation outcome of previous rounds may influence the participation of agents in subsequent rounds, and consequently, the quality of the allocations in the long term. We investigate how allocation influences agents' decision to participate using prospect theory, and simulate how agents' participation affects the system's long term social welfare. We compare two task allocation algorithms in this study, one only considering optimality in terms of costs and the other considering optimality in terms of primarily fairness and secondarily costs. The simulation results demonstrate that fairness incentivizes agents to keep participating and consequently leads to a higher social welfare.",

keywords = "Fairness, Participation behavior, Prospect theory, Repeated task allocation",

author = "Q.C. Ye and Y. Zhang",

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language = "English",

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pages = "94--97",

booktitle = "2016 International Conference on Agents, ICA 2016, 28-30 September 2016, Matsue, Shimane, Japan",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2016 IEEE International Conference on Agents (ICA), September 28-30, 2016, Matsue, Shimane, Japan, ICA 2016 ; Conference date: 28-09-2016 Through 30-09-2016",

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Ye, QC & Zhang, Y 2016, Participation behavior and social welfare in repeated task allocations. in 2016 International Conference on Agents, ICA 2016, 28-30 September 2016, Matsue, Shimane, Japan., 7812975, Institute of Electrical and Electronics Engineers, Piscataway, pp. 94-97, 2016 IEEE International Conference on Agents (ICA), September 28-30, 2016, Matsue, Shimane, Japan, Matsue, Japan, 28/09/16. https://doi.org/10.1109/ICA.2016.030

Participation behavior and social welfare in repeated task allocations. / Ye, Q.C.; Zhang, Y.
2016 International Conference on Agents, ICA 2016, 28-30 September 2016, Matsue, Shimane, Japan. Piscataway: Institute of Electrical and Electronics Engineers, 2016. p. 94-97 7812975.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Participation behavior and social welfare in repeated task allocations

AU - Ye, Q.C.

AU - Zhang, Y.

PY - 2016

Y1 - 2016

N2 - Task allocation problems have focused on achieving one-shot optimality. In practice, many task allocation problems are of repeated nature, where the allocation outcome of previous rounds may influence the participation of agents in subsequent rounds, and consequently, the quality of the allocations in the long term. We investigate how allocation influences agents' decision to participate using prospect theory, and simulate how agents' participation affects the system's long term social welfare. We compare two task allocation algorithms in this study, one only considering optimality in terms of costs and the other considering optimality in terms of primarily fairness and secondarily costs. The simulation results demonstrate that fairness incentivizes agents to keep participating and consequently leads to a higher social welfare.

AB - Task allocation problems have focused on achieving one-shot optimality. In practice, many task allocation problems are of repeated nature, where the allocation outcome of previous rounds may influence the participation of agents in subsequent rounds, and consequently, the quality of the allocations in the long term. We investigate how allocation influences agents' decision to participate using prospect theory, and simulate how agents' participation affects the system's long term social welfare. We compare two task allocation algorithms in this study, one only considering optimality in terms of costs and the other considering optimality in terms of primarily fairness and secondarily costs. The simulation results demonstrate that fairness incentivizes agents to keep participating and consequently leads to a higher social welfare.

KW - Fairness

KW - Participation behavior

KW - Prospect theory

KW - Repeated task allocation

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DO - 10.1109/ICA.2016.030

M3 - Conference contribution

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EP - 97

BT - 2016 International Conference on Agents, ICA 2016, 28-30 September 2016, Matsue, Shimane, Japan

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2016 IEEE International Conference on Agents (ICA), September 28-30, 2016, Matsue, Shimane, Japan

Y2 - 28 September 2016 through 30 September 2016

ER -

Participation behavior and social welfare in repeated task allocations

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