Abstract—Problem solving is vital in the computer
programming course. It is the earliest topic that is emphasized
and more time is allocated to teach the topic. Problem solving
requires the problem understanding knowledge that novice
students usually lacks. In order to assist novice students in
computational problem solving, a multi-agent model is designed.
The proposed model is different from existing model in terms of
the unique architecture that utilizes agents for information
processing, specifically to extract, transform and generate
information. Five agents are designed for this purpose namely
the GUI, PAC, IPO, Flowchart and Algorithm agents. The
model is tested with three different kinds of problem statement
and produced correct results.
Index Terms—Computational problem solving, information
processing, multi-agent, problem understanding.
M. A. Teh Noranis is with the Department of Computer Science,
Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, MALAYSIA
(e-mail: nuranis@fsktm.upm.edu.my).
N. Shahrin Azuan is with the Telekom Malaysia Research and
Development, Lingkaran Teknokrat Timur, 63000 Cyberjaya, Selangor,
MALAYSIA (e-mail: shahrin@tmrnd.com.my).
[PDF]
Cite:M. A. Teh Noranis and N. Shahrin Azuan, "A Multi-Agent Model for Information Processing in
Computational Problem Solving," International Journal of Modeling and Optimization vol. 3, no. 6, pp. 490-494, 2013.
