Title: AN AGENT-BASED CONCEPTUAL MODEL FOR COMPUTATIONAL PROBLEM SOLVING

Year of Publication: Jun - 2012
Page Numbers: 240-248
Authors: Teh Noranis Mohd Aris
Conference Name: The International Conference on Informatics and Applications (ICIA2012)
- Malaysia

Abstract:


Novice students face difficulties to understand problems and transform the problems using problem solving techniques. A novel model based on agents has been designed to assist novices in computational problem solving. This paper focus from the very first step starting from a problem given in text form and producing the Problem Analysis Chart (PAC), Hierarchy Input Process Output (HIPO) chart, Input Process Output (IPO) chart, flowchart and algorithm. This model consists of two modules namely the Problem Solving Comprehension Module and the Assignment Module. The main role of agents in the Problem Solving Comprehension Module is to extract information, transform to problem solving documents and generate module number. This module consists of six agents – GUI, PAC, HIPO, IPO, flowchart and algorithm agents. The main role of agents in the Assignment Module is interaction with the user. This module consists of four agents – GUI, Novice, Assessment and Guidance agents. The model is tested with three different problems and proved that the proposed extraction algorithm worked accurately.