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A detailed analysis of a multi-agent diverse team

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A detailed analysis of a multi-agent diverse team. / Soriano Marcolino, Leandro; Zhang, Chao; Xin Jiang, Albert et al.
Coordination, Organizations, Institutions and Norms in Agent Systems IX: COIN 2013 International Workshops, COIN@AAMAS, St. Paul, MN, USA, May 6, 2013, COIN@PRIMA, Dunedin, New Zealand, December 3, 2013, Revised Selected Papers. ed. / Tina Balke; Frank Dignum; M. Birma van Riemsdijk; Amit K. Chopra. Springer, 2014. p. 3-24 (Lecture Notes in Computer Science; Vol. 8386).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Harvard

Soriano Marcolino, L, Zhang, C, Xin Jiang, A & Tambe, M 2014, A detailed analysis of a multi-agent diverse team. in T Balke, F Dignum, MB van Riemsdijk & AK Chopra (eds), Coordination, Organizations, Institutions and Norms in Agent Systems IX: COIN 2013 International Workshops, COIN@AAMAS, St. Paul, MN, USA, May 6, 2013, COIN@PRIMA, Dunedin, New Zealand, December 3, 2013, Revised Selected Papers. Lecture Notes in Computer Science, vol. 8386, Springer, pp. 3-24. https://doi.org/10.1007/978-3-319-07314-9_1

APA

Soriano Marcolino, L., Zhang, C., Xin Jiang, A., & Tambe, M. (2014). A detailed analysis of a multi-agent diverse team. In T. Balke, F. Dignum, M. B. van Riemsdijk, & A. K. Chopra (Eds.), Coordination, Organizations, Institutions and Norms in Agent Systems IX: COIN 2013 International Workshops, COIN@AAMAS, St. Paul, MN, USA, May 6, 2013, COIN@PRIMA, Dunedin, New Zealand, December 3, 2013, Revised Selected Papers (pp. 3-24). (Lecture Notes in Computer Science; Vol. 8386). Springer. https://doi.org/10.1007/978-3-319-07314-9_1

Vancouver

Soriano Marcolino L, Zhang C, Xin Jiang A, Tambe M. A detailed analysis of a multi-agent diverse team. In Balke T, Dignum F, van Riemsdijk MB, Chopra AK, editors, Coordination, Organizations, Institutions and Norms in Agent Systems IX: COIN 2013 International Workshops, COIN@AAMAS, St. Paul, MN, USA, May 6, 2013, COIN@PRIMA, Dunedin, New Zealand, December 3, 2013, Revised Selected Papers. Springer. 2014. p. 3-24. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-07314-9_1

Author

Soriano Marcolino, Leandro ; Zhang, Chao ; Xin Jiang, Albert et al. / A detailed analysis of a multi-agent diverse team. Coordination, Organizations, Institutions and Norms in Agent Systems IX: COIN 2013 International Workshops, COIN@AAMAS, St. Paul, MN, USA, May 6, 2013, COIN@PRIMA, Dunedin, New Zealand, December 3, 2013, Revised Selected Papers. editor / Tina Balke ; Frank Dignum ; M. Birma van Riemsdijk ; Amit K. Chopra. Springer, 2014. pp. 3-24 (Lecture Notes in Computer Science).

Bibtex

@inbook{1327473207e94adb892aa97f80fb1406,
title = "A detailed analysis of a multi-agent diverse team",
abstract = "In an open system we can have many different kinds of agents. However, it is a challenge to decide which agents to pick when forming multi-agent teams. In some scenarios, agents coordinate by voting continuously. When forming such teams, should we focus on the diversity of the team or on the strength of each member? Can a team of diverse (and weak) agents outperform a uniform team of strong agents? We propose a new model to address these questions. Our key contributions include: (i) we show that a diverse team can overcome a uniform team and we give the necessary conditions for it to happen; (ii) we present optimal voting rules for a diverse team; (iii) we perform synthetic experiments that demonstrate that both diversity and strength contribute to the performance of a team; (iv) we show experiments that demonstrate the usefulness of our model in one of the most difficult challenges for Artificial Intelligence: Computer Go.",
keywords = "Multi-agent systems, Coordination and collaboration, Distributed AI",
author = "{Soriano Marcolino}, Leandro and Chao Zhang and {Xin Jiang}, Albert and Milind Tambe",
year = "2014",
month = jun,
day = "4",
doi = "10.1007/978-3-319-07314-9_1",
language = "English",
isbn = "9783319073132",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "3--24",
editor = "Tina Balke and Frank Dignum and {van Riemsdijk}, {M. Birma} and Chopra, {Amit K.}",
booktitle = "Coordination, Organizations, Institutions and Norms in Agent Systems IX",

}

RIS

TY - CHAP

T1 - A detailed analysis of a multi-agent diverse team

AU - Soriano Marcolino, Leandro

AU - Zhang, Chao

AU - Xin Jiang, Albert

AU - Tambe, Milind

PY - 2014/6/4

Y1 - 2014/6/4

N2 - In an open system we can have many different kinds of agents. However, it is a challenge to decide which agents to pick when forming multi-agent teams. In some scenarios, agents coordinate by voting continuously. When forming such teams, should we focus on the diversity of the team or on the strength of each member? Can a team of diverse (and weak) agents outperform a uniform team of strong agents? We propose a new model to address these questions. Our key contributions include: (i) we show that a diverse team can overcome a uniform team and we give the necessary conditions for it to happen; (ii) we present optimal voting rules for a diverse team; (iii) we perform synthetic experiments that demonstrate that both diversity and strength contribute to the performance of a team; (iv) we show experiments that demonstrate the usefulness of our model in one of the most difficult challenges for Artificial Intelligence: Computer Go.

AB - In an open system we can have many different kinds of agents. However, it is a challenge to decide which agents to pick when forming multi-agent teams. In some scenarios, agents coordinate by voting continuously. When forming such teams, should we focus on the diversity of the team or on the strength of each member? Can a team of diverse (and weak) agents outperform a uniform team of strong agents? We propose a new model to address these questions. Our key contributions include: (i) we show that a diverse team can overcome a uniform team and we give the necessary conditions for it to happen; (ii) we present optimal voting rules for a diverse team; (iii) we perform synthetic experiments that demonstrate that both diversity and strength contribute to the performance of a team; (iv) we show experiments that demonstrate the usefulness of our model in one of the most difficult challenges for Artificial Intelligence: Computer Go.

KW - Multi-agent systems

KW - Coordination and collaboration

KW - Distributed AI

U2 - 10.1007/978-3-319-07314-9_1

DO - 10.1007/978-3-319-07314-9_1

M3 - Chapter (peer-reviewed)

SN - 9783319073132

T3 - Lecture Notes in Computer Science

SP - 3

EP - 24

BT - Coordination, Organizations, Institutions and Norms in Agent Systems IX

A2 - Balke, Tina

A2 - Dignum, Frank

A2 - van Riemsdijk, M. Birma

A2 - Chopra, Amit K.

PB - Springer

ER -