Solutions SHaring in Multi-agent System

DOI

10.2991/iccasm.2012.265How to use a DOI?

Keywords

Multi-agent system (MAS), Solution sharing mechanism, Solution space, Action sequence, Current optimal solution

Abstract

In this paper, we will do some researches on the relationship between action sequence and system efficiency in multi-agent system. Usually, when an agent gets a task, it will calculate all the feasible action sequences and choose the best one whether the task has used to appeared in this system before. It wastes a lot of time on re-calculating and recomparing. So we propose solution sharing mechanism to make all the agents share the same solution space which keeps the current optimal plan for tasks. After achieved new tasks, each agent will have only one calculation and comparison, and then choose the better current action sequence. The reduction of time and better action sequence will improve the efficiency of multi-agent system.

Copyright

© 2012, 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  - Hanbing Deng
AU  - Xia Zhang
AU  - Jiren Liu
AU  - Qian Zhang
PY  - 2012/08
DA  - 2012/08
TI  - Solutions SHaring in Multi-agent System
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1044
EP  - 1046
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.265
DO  - 10.2991/iccasm.2012.265
ID  - Deng2012/08
ER  -