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