Abstract
Artificial Intelligence (AI) is a new field triggered in computer science in order to solve complex problems like cooperation, distribution, and communication. AI has many research areas for the development of complex systems. Multi-Agent Systems (MAS) are one of reach of using autonomous systems which have actors’ acts on their own based on user requirements to solve their problems. A new development of programming language called Agent-Oriented Programming (AOP) for programming autonomous agents and multi-agent system MAS. The agent in MAS acts in an autonomous way without any human or system interaction. The agent has the ability of automated action in order to reach its goal. An agent has the Belief-Desire-Intension (BDI) architecture in order to define the behavior of the system using Agent-Oriented Programming. This paper shows a proposed model which is an intelligent multi-agent system for e-bookstore that communicates with each other using a Foundation of Intelligent Physical Agent (FIPA). Also this paper shows the search performance within the communication results worked on Amazon Dataset and evaluates the quality of intelligent agents of E-bookstore system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Qasim A, Ameen HMB, Aziz Z, Khalid A (2020) Efficient performative actions for e-Commerce agents. Appl Comput Syst 25(1):19–32
Vaquero LM, Rodero-Merino L, Caceres J, Lindner M (2009) A break in the clouds: towards a cloud definition. ACM SIGCOMM Comput Commun Rev 39(1):50–55. https://doi.org/10.1145/1496091.1496100
Mei L, Chan WK, Tse TH (2008) A tale of clouds: paradigm comparisons and some thoughts on research issues. In: Proceedings of the 2008 IEEE Asia-pacific services computing conference (APSCC 2008). IEEE Computer Society Press, Los Alamitos, CA. https://doi.org/10.1109/APSCC.2008.168
Lomuscio AR, Wooldridge M, Jennings NR (2003) A classification scheme for negotiation in electronic commerce. Group Decis Negot 12(1):31–56. https://doi.org/10.1023/A:1022232410606
Elaf JA et al (2018) Incorporation of negotiation process into an e-commerce platform to increase sales. J Theor Appl Inf Technol 96(10):2745–2753
Wang S, Wan J, Zhang D, Li D, Zhang C (2016) Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput Netw 101:158–168. https://doi.org/10.1016/j.comnet.2015.12.017
Pan A, Choi T-M (2016) An agent-based negotiation model on price and delivery date in a fashion supply chain. Ann Oper Res 242(2):529–557. https://doi.org/10.1007/s10479-013-1327-2
Yu C, Wong T, Li Z (2017) A hybrid multi-agent negotiation protocol supporting supplier selection for multiple products with synergy effect. Int J Prod Res 55(1):18–37. https://doi.org/10.1080/00207543.2016.1189105
Liang C-C, Liang W-Y, Tseng T-L (2019) Evaluation of intelligent agents in consumer-to-business e-commerce. Comput Stand Interfaces 65:122–131. https://doi.org/10.1016/j.csi.2019.03.002
Cao M, Luo X, Luo XR, Dai X (2015) Automated negotiation for e-commerce decision making: a goal deliberated agent architecture for multi-strategy selection. Decis Support Syst 73:1–14. https://doi.org/10.1016/j.dss.2015.02.012
Huang C-C, Liang W-Y, Lai Y-H, Lin Y-C (2010) The agent-based negotiation process for B2C e-commerce. Expert Syst Appl 37(1):348–359. https://doi.org/10.1016/j.eswa.2009.05.065
Hopkins J, Kafali Ö, Alrayes B, Stathis K (2019) Pirasa: strategic protocol selection for e-commerce agents. Electron Mark 29(2):239–252. https://doi.org/10.1007/s12525-018-0307-4
Gupta A, Srivastava DK, Jain S (2016) Evaluating negotiation protocols and negotiation strategies for automated e-commerce. Int J Eng Res Technol 5(7):502–505 https://doi.org/10.17577/IJERTV5IS070423
Patrikar M, Vij S, Mukhopadhyay D (2015) An approach on multilateral automated negotiation. Procedia Comput Sci 49:298–305. https://doi.org/10.1016/j.procs.2015.04.256
Sascha Schmitt, Ralph Bergmann (1999) Applying case-based reasoning technology for product selection and customization in electronic commerce enviroments. Global networked organizations twelfth international bled electronic commerce conference
Amira Hosni, Hassan Bedor, Waleed Hassanin (2018) Applying tropos for web-based multi-agent ebookstore. In: IEEE 2nd international conference on computing science and engineering (ICCE 2018). Kuwait University, Kuwait
FIPA ACL Message structure specification, FIPA: http://www.fipa.org/specs/fipa00061/SC00061G.html.
FIPA Agent management specification, FIPA: http://www.fipa.org/specs/fipa00023/SC00023K.html.
FIPA SL Content language specification, FIPA: http://www.fipa.org/specs/fipa00008/SC00008I.html.
FIPA Ontology service specification, FIPA: http://www.fipa.org/specs/fipa00086/XC00086D.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Aref, M.M., Elbagoury, B.M., Hassanin, W. (2022). Designing an Intelligent Agents for E-Bookstore System Web-Based System. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 217. Springer, Singapore. https://doi.org/10.1007/978-981-16-2102-4_30
Download citation
DOI: https://doi.org/10.1007/978-981-16-2102-4_30
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2101-7
Online ISBN: 978-981-16-2102-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)