DocumentCode :
1570939
Title :
Motivated learning agent model for distributed collaborative systems
Author :
Wang, Rui ; Wang, Xiangyu ; Wang, Wei
Author_Institution :
Key Centre of Design Comput. & Cognition, Univ. of Sydney, Sydney, NSW
fYear :
2009
Firstpage :
221
Lastpage :
226
Abstract :
The paper develops and discusses a conceptual model for a mixed reality-based remote collaborative system (MR-Collab) based on motivated learning agents. The proposed MR-Collab system is described in details as well to help better understand this model. Self-development agent based on previous work is an intelligent agent, which not only receives information from sensors in the environment, but also gives valuable suggestions that could help to improve the system. The model is not limited to this specific system, but could be adapted to other collaboration systems as well.
Keywords :
distributed processing; groupware; learning (artificial intelligence); software agents; distributed collaborative systems; intelligent agent; mixed reality-based remote collaborative system; motivated learning agent model; self-development agent; Collaborative work; Computational modeling; Costs; Design automation; Distributed computing; Humans; Intelligent agent; Intelligent sensors; International collaboration; Machine learning algorithms; CSCW; Intelligent agent interaction; remote collaboration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on
Conference_Location :
Santiago
Print_ISBN :
978-1-4244-3534-0
Electronic_ISBN :
978-1-4244-3535-7
Type :
conf
DOI :
10.1109/CSCWD.2009.4968062
Filename :
4968062
Link To Document :
بازگشت