By Topic

The learning mechanism design with petri nets for adaptive agent

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Qing Zhou ; Sch. of Bus. Adm., Univ. of Pet., Beijing ; Xuefeng Guo

The complex adaptive systems (CAS) is a new theory with the goal to study how complex behaviors emerge in systems of relatively simple interacting individuals. The CAS is also a multi-agent system, and learning ability is a crucial characteristic of adaptive agents. This paper explores the learning agent model with Petri nets by considering both the macrostructure and microstructure for complex adaptive systems simulation.

Published in:

Service Systems and Service Management, 2008 International Conference on

Date of Conference:

June 30 2008-July 2 2008