Standard
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/ISSN › Chapter (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 -