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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(6): 490-494 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.327

A Multi-Agent Model for Information Processing in Computational Problem Solving

M. A. Teh Noranis and N. Shahrin Azuan
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).


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.

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