Dissertation/ Thesis
Προβολή σε EDS

Agent-based extraction algorithm for computational problem solving

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Agent-based extraction algorithm for computational problem solving
Συγγραφείς: Rajabi, Maryam
Έτος έκδοσης: 2015
Συλλογή: Universiti Putra Malaysia: PSAS (Perpuskataan Sultan Abuld Samad) Institutional Repository
Θεματικοί όροι: Problem solving - Computer simulation, Computer simulation - Computer programs
Περιγραφή: Modeling Computational Problem Solving (CPS) is the main issue in teaching programming where the given text is needed to be transformed into a model then later into a programming language. Various CPS techniques have been proposed such as PAC, IPO, Flowchart and Algorithm. Also, various models have been proposed for these techniques either using agent or non-agent based solutions, but the literature shows the existing models and techniques still have limitation for novice programmers as they need prior knowledge on programming language before being able to do CPS. On the other hand, agent-based model offers a good method to solve complex computational problems. Therefore, utilizing the agent-based featured agents for this purpose is a benefit with the aim of helping novice programmers to understand the CPS without knowing the programming language. Therefore, this research aims at developing a tool for this purpose which can be classified into two objectives. The first is to propose an agent based model for CPS and the second is to evaluate the effectiveness of the prototype based on three factors consisting of understanding,efficiency and usability. Four agents have been proposed as an agent based model for CPS, which are User_Agent, PAC_Agent, IPO_Agent and Algorithm_Agent. User_Agent is responsible for receiving the problem from user and sending it to PAC_ Agent. Moreover, the extraction algorithm is located in User_Agent to perform extraction of appropriate information needed from the text and later send this information to PAC_Agent for analysis modeling and displaying input, process and output. Additionally, IPO_Agent not only produces the same PAC’s output results, but also generates module number and represents these results in another window. Finally,Algorithm_Agent employs the extracted information provided by IPO_Agent to produce the pseudo-code of the given problem and shows it in separate window. The proposed agent-based model for CPS has been designed using Prometheus Design Tools (PDT), which can ...
Τύπος εγγράφου: thesis
Περιγραφή αρχείου: text
Γλώσσα: English
Relation: http://psasir.upm.edu.my/id/eprint/57100/1/FSKTM%202015%206IR%20UPM%20IR.pdf; Rajabi, Maryam (2015) Agent-based extraction algorithm for computational problem solving. Masters thesis, Universiti Putra Malaysia.
Διαθεσιμότητα: http://psasir.upm.edu.my/id/eprint/57100/
http://psasir.upm.edu.my/id/eprint/57100/1/FSKTM%202015%206IR%20UPM%20IR.pdf
Αριθμός Καταχώρησης: edsbas.286975FE
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  – Url: http://psasir.upm.edu.my/id/eprint/57100/#
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  Data: Agent-based extraction algorithm for computational problem solving
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Rajabi%2C+Maryam%22">Rajabi, Maryam</searchLink>
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  Data: 2015
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  Data: Universiti Putra Malaysia: PSAS (Perpuskataan Sultan Abuld Samad) Institutional Repository
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  Data: <searchLink fieldCode="DE" term="%22Problem+solving+-+Computer+simulation%22">Problem solving - Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation+-+Computer+programs%22">Computer simulation - Computer programs</searchLink>
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  Data: Modeling Computational Problem Solving (CPS) is the main issue in teaching programming where the given text is needed to be transformed into a model then later into a programming language. Various CPS techniques have been proposed such as PAC, IPO, Flowchart and Algorithm. Also, various models have been proposed for these techniques either using agent or non-agent based solutions, but the literature shows the existing models and techniques still have limitation for novice programmers as they need prior knowledge on programming language before being able to do CPS. On the other hand, agent-based model offers a good method to solve complex computational problems. Therefore, utilizing the agent-based featured agents for this purpose is a benefit with the aim of helping novice programmers to understand the CPS without knowing the programming language. Therefore, this research aims at developing a tool for this purpose which can be classified into two objectives. The first is to propose an agent based model for CPS and the second is to evaluate the effectiveness of the prototype based on three factors consisting of understanding,efficiency and usability. Four agents have been proposed as an agent based model for CPS, which are User_Agent, PAC_Agent, IPO_Agent and Algorithm_Agent. User_Agent is responsible for receiving the problem from user and sending it to PAC_ Agent. Moreover, the extraction algorithm is located in User_Agent to perform extraction of appropriate information needed from the text and later send this information to PAC_Agent for analysis modeling and displaying input, process and output. Additionally, IPO_Agent not only produces the same PAC’s output results, but also generates module number and represents these results in another window. Finally,Algorithm_Agent employs the extracted information provided by IPO_Agent to produce the pseudo-code of the given problem and shows it in separate window. The proposed agent-based model for CPS has been designed using Prometheus Design Tools (PDT), which can ...
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  Data: http://psasir.upm.edu.my/id/eprint/57100/1/FSKTM%202015%206IR%20UPM%20IR.pdf; Rajabi, Maryam (2015) Agent-based extraction algorithm for computational problem solving. Masters thesis, Universiti Putra Malaysia.
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