ACM Home Page
Please provide us with feedback. Feedback
Forming and scaffolding human coalitions with a multi-agent framework
Full text PdfPdf (81 KB)
Source
International Conference on Autonomous Agents archive
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems table of contents
Honolulu, Hawaii
SESSION: Cognitive models for agents: poster papers table of contents
Article No. 62  
Year of Publication: 2007
ISBN:978-81-904262-7-5
Authors
Leen-Kiat Soh  University of Nebraska-Lincoln, Lincoln, NE
Nobel Khandaker  University of Nebraska-Lincoln, Lincoln, NE
Sponsor
: IFAAMAS
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 39,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1329125.1329200
What is a DOI?

ABSTRACT

With the advancement of teleconferencing technologies, human users are collaborating online more than ever today. To improve the efficiency and effectiveness of online human coalitions, one needs to support and facilitate collaborations among human users who may or may not know of each other well and of how to work well together as a team or in a team. Here we propose the Integrated Human Coalition Formation and Scaffolding (iHUCOFS) framework. This multiagent framework considers the roles of an agent as both an advisor and a representative to a human user, the tradeoffs between forming and scaffolding human coalitions, and how scaffolding could impact human behaviors for future coalitions. Based on the axioms and design principles of iHUCOFS, we have developed VALCAM---an iterative auction based coalition formation algorithm. To investigate the feasibility and impact of VALCAM, we have conducted an experiment in a computer-supported collaborative learning environment and obtained promising results.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
Constantino-González, M. A. and Suthers, D. D., Coaching Collaboration by Comparing Solutions and Tracking Participation. In Proc. EURO-CSCL, 2001, Maastricht, the Netherlands, 704--705.
 
3
Khandaker, N., Soh, L-K. and Jiang, H. Student learning and team formation in a structured CSCL environment. In Proc. ICCE, 2006, Beijing, China, 185--192.
 
4
Liu, X., Zhang, X., Al-Jaroodi, J., Vemuri, P., Jiang, H. and Soh, L.-K. I-MINDS: An Application of Multiagent System Intelligence to On-Line Education. In Proc. IEEE-SMC, 2003, Washington, D. C., 4864--4871.
 
5
 
6
Soh, L-K., Khandaker, N. and Jiang, H. Multiagent Coalition Formation for Computer-supported Cooperative Learning. In Proc. IAAI, 2006, Boston, MA, 1844--1851.
7
 
8
Soh, L-K., Khandaker, N., Liu X. and Jiang, H. Computer-Supported Structured Cooperative Learning. In Proc. ICCE, 2005, Singapore, Singapore, 428--435.

Collaborative Colleagues:
Leen-Kiat Soh: colleagues
Nobel Khandaker: colleagues