A Simulation-based Approach to Evaluate and Regulate the Reputation Score of a Software Agent in E-Market

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Published Oct 31, 2022
https://doi.org/10.47164/ijngc.v13i3.788
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Volume 13, Special Issue 3, October 2022

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Dr. Sarabjeet Kaur Kochhar
Department of Computer Science, Indraprastha College for Women, University of Delhi, Delhi, India, Email: [email protected]
Dr. Anuja Soni
Department of Computer Science, Deen Dayal Upadhyaya College, University of Delhi, Delhi, India, Email: [email protected]
Prof. Sangeeta Srivastava
Department of Computer Science, Bhaskaracharya College of Applied Sciences, University of Delhi, Delhi, India, Email: [email protected]
Prof. Vibha Gaur
Department of Computer Science, Acharya Narendra Dev College, University of Delhi, Delhi, India, Email: [email protected]

Abstract

Reputation is a crucial factor that governs the importance of a software agent in the agent-mediated e-market. In the e-market, various buyers and service providers are involved in buying and selling the products. A buyer agent (BA) acts on behalf of a buyer to buy the products from a service provider agent (SPA) preferably having a good reputation score (Rep-Score). The conventional customer rating mechanism for online transactions lacks adequate analysis and investigation of customer reviews and hence does not reflect the accurate reputation of the service providers. This research investigates the reputation of a software agent using customer feedback based on product attributes such as product quality, design, price, delivery time, and defects. A knowledge rule-set is formed to establish a link between customer feedback and the repute of a software agent. Further, a simulation-based approach using the Rosetta toolkit and the Fuzzy Control System is applied to quantify and fine-tune the reputation of a software agent. There could be a chance of an unfair relationship between the same buyer-seller pair due to recurrent transactions. The proposed work eliminates any chance of a conspiracy between a service provider and a buyer agent. In case, the buyer agent makes repeated transactions with a particular service provider agent, the value of the weight assigned to the reputation of the service provider agent is significantly diminished for each new transaction, hence decreasing the final value of the Rep-Score. As a result, this method guarantees the correctness of the reputation evaluation of a software agent. A performance analysis is performed to validate the proposed approach using mean squared error and standard deviation.

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Author Biographies

Dr. Sarabjeet Kaur Kochhar, Department of Computer Science, Indraprastha College for Women, University of Delhi, Delhi, India, Email: [email protected]

Dr. Sarabjeet Kaur Kochhar is an Associate Professor in Indraprastha College for Women, University of Delhi and has about 20 years of teaching experience. She has done her Ph.D. from University of Delhi, Delhi, India. She has published several papers in reputed journals and international conferences. Her research interests include Multi-Agent System, Data Mining, Soft Computing, and Machine Learning.

Dr. Anuja Soni, Department of Computer Science, Deen Dayal Upadhyaya College, University of Delhi, Delhi, India, Email: [email protected]

Dr. Anuja Soni is an Associate Professor in Deen Dayal Upadhyaya College, University of Delhi and has about 22 years of teaching experience. She has done her Ph.D. from University of Delhi, Delhi, India. She has published many papers in International journals and conferences. Her research interests include Software Engineering, Fuzzy Logic, Multi-Agent System, Soft Computing, and Machine Learning. Anuja Soni is the corresponding author of this article entitled as “A Simulation based Approach to Evaluate and Regulate the Reputation Score of a Software Agent in E-Market”.

Prof. Sangeeta Srivastava , Department of Computer Science, Bhaskaracharya College of Applied Sciences, University of Delhi, Delhi, India, Email: [email protected]

Prof. Sangeeta Srivastava received Post-Doctorate in Computer Science from UPES, Dehradun and Ph. D. degree in Computer Engineering from Faculty of Technology from Delhi University, Delhi, India. She is Professor in Department of Computer Science, Bhaskaracharya College of Applied Sciences, University of Delhi. She has about 22 years of teaching experience. She has published more than 30 papers in International journals and conferences Her research interests include Requirements engineering, software engineering, Design Engineering and machine learning.

Prof. Vibha Gaur, Department of Computer Science, Acharya Narendra Dev College, University of Delhi, Delhi, India, Email: [email protected]

Prof. Vibha Gaur received Ph.D. Degree in Computer Science from Department of Computer Science, University of Delhi, Delhi, India. She is a Professor in Department of Computer Science, Acharya Narendra Dev College, University of Delhi. She has about 23 years of teaching experience. She has published more than 40 papers in International journals and conferences. Her research interests include Requirement Engineering, Software Quality, Fuzzy Logic, etc.

How to Cite
Dr. Sarabjeet Kaur Kochhar, Dr. Anuja Soni, Prof. Sangeeta Srivastava, & Prof. Vibha Gaur. (2022). A Simulation-based Approach to Evaluate and Regulate the Reputation Score of a Software Agent in E-Market. International Journal of Next-Generation Computing, 13(3). https://doi.org/10.47164/ijngc.v13i3.788
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