An Architecture for Multi-agent Based Self-adaptive System in Mobile Environment

2005 ◽  
pp. 494-500 ◽  
Author(s):  
Seunghwa Lee ◽  
Jehwan Oh ◽  
Eunseok Lee
Keyword(s):  
Adaptive System ◽  
Mobile Environment ◽  
Agent Based ◽  
Multi Agent ◽  
Self Adaptive

Design of multi-agent-based online auction in mobile environment

2016 ◽  
Vol 8 (1/2) ◽  
pp. 59
Author(s):  
Hongyan Yu ◽  
Lihui Wang ◽  
Shengyan Li ◽  
Tengxiao Yang
Keyword(s):  
Online Auction ◽  
Mobile Environment ◽  
Agent Based ◽  
Multi Agent

A Two-Layer Approach to Developing Self-Adaptive Multi-Agent Systems in Open Environment

2017 ◽  
pp. 585-606
Author(s):  
Xinjun Mao ◽  
Menggao Dong ◽  
Haibin Zhu
Keyword(s):  
Reinforcement Learning ◽  
Adaptive Systems ◽  
Multi Agent Systems ◽  
Uncertain Environments ◽  
Agent Based ◽  
Fine Grain ◽  
Adaptation Mechanisms ◽  
Multi Agent ◽  
Self Adaptation ◽  
Self Adaptive

Development of self-adaptive systems situated in open and uncertain environments is a great challenge in the community of software engineering due to the unpredictability of environment changes and the variety of self-adaptation manners. Explicit specification of expected changes and various self-adaptations at design-time, an approach often adopted by developers, seems ineffective. This paper presents an agent-based approach that combines two-layer self-adaptation mechanisms and reinforcement learning together to support the development and running of self-adaptive systems. The approach takes self-adaptive systems as multi-agent organizations and enables the agent itself to make decisions on self-adaptation by learning at run-time and at different levels. The proposed self-adaptation mechanisms that are based on organization metaphors enable self-adaptation at two layers: fine-grain behavior level and coarse-grain organization level. Corresponding reinforcement learning algorithms on self-adaptation are designed and integrated with the two-layer self-adaptation mechanisms. This paper further details developmental technologies, based on the above approach, in establishing self-adaptive systems, including extended software architecture for self-adaptation, an implementation framework, and a development process. A case study and experiment evaluations are conducted to illustrate the effectiveness of the proposed approach.

Design of multi-agent-based online auction in mobile environment

2016 ◽  
Vol 8 (1/2) ◽  
pp. 59
Author(s):  
Tengxiao Yang ◽  
Hongyan Yu ◽  
Shengyan Li ◽  
Lihui Wang
Keyword(s):  
Online Auction ◽  
Mobile Environment ◽  
Agent Based ◽  
Multi Agent
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