When Coordination and Exploration are matched: A Simulation Research on Multi-Agents Governance mode

DOI

10.2991/icmmcce-15.2015.397How to use a DOI?

Keywords

Computational Complexity Theory, Object-oriented Programming, Simulation.

Abstract

Engaging in exploring multi-agent collaboration requires determining how to govern the shared activities. We examine the performance implications of selecting alternate modes of governance in multi-agent alliance relationships. A core set of results in this study relates to the ways in which governance structure interacts with agents’ search capabilities. Alliance performance improves when the needs and supplies of coordination and exploration are matched. We find situations in which there is an inverted U relationship between governance mode and performance. At the end we discuss the contribution and the possibility of extension in the future.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Cunying Chen
AU  - Hua Zhang
PY  - 2015/12
DA  - 2015/12
TI  - When Coordination and Exploration are matched: A Simulation Research on Multi-Agents Governance mode
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.397
DO  - 10.2991/icmmcce-15.2015.397
ID  - Chen2015/12
ER  -