CFP last date
22 April 2024
Reseach Article

Development of a Computational Model for Yoruba Bargaining System

by Bello Sururah A., Iyanda Abimbola R., Adigun Adekunle M.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 171 - Number 6
Year of Publication: 2017
Authors: Bello Sururah A., Iyanda Abimbola R., Adigun Adekunle M.
10.5120/ijca2017913863

Bello Sururah A., Iyanda Abimbola R., Adigun Adekunle M. . Development of a Computational Model for Yoruba Bargaining System. International Journal of Computer Applications. 171, 6 ( Aug 2017), 8-14. DOI=10.5120/ijca2017913863

@article{ 10.5120/ijca2017913863,
author = { Bello Sururah A., Iyanda Abimbola R., Adigun Adekunle M. },
title = { Development of a Computational Model for Yoruba Bargaining System },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2017 },
volume = { 171 },
number = { 6 },
month = { Aug },
year = { 2017 },
issn = { 0975-8887 },
pages = { 8-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume171/number6/28183-2017913863/ },
doi = { 10.5120/ijca2017913863 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:18:41.839664+05:30
%A Bello Sururah A.
%A Iyanda Abimbola R.
%A Adigun Adekunle M.
%T Development of a Computational Model for Yoruba Bargaining System
%J International Journal of Computer Applications
%@ 0975-8887
%V 171
%N 6
%P 8-14
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper examines the concept of negotiation in the context of the Yoruba culture to produce a formal representation in form of computational models as a step towards digital preservation of the culture and also integrate this into the growing field of e-commerce. Three of the Bargaining systems of the Yoruba culture was designed using flowchart and use case diagrams. The simulation was done with Java.

References
  1. The President and Fellows of Harvard College. Bargaining Table. http://www.pon.harvard.edu/tag/bargaining-table/. (2016). Assessed Date: February, 2016
  2. J. E. Doughan. 2012. The Use of Art in the Preservation of History: A Case Study of Winneba and Mankessim. MPhil Thesis.. Kwame Nkrumah University of Science and Technology. Ghana
  3. K. Sycara. and T. Dai, Agent reasoning in negotiation. 2010. In Handbook of Group Decision and Negotiation (pp. 437-451). Springer Netherlands.
  4. J. S. Olson. 1996. The peoples of Africa: an ethnohistorical dictionary. Greenwood Publishing Group.
  5. S. J. Simoff. Mining'Living. 2002. “Data-Providing Context Information to a Negotiation Process”. Lecture Notes in Computer Science, S. (2002):521-526
  6. I. Rahwan, R. Kowalczyk, and H. H. Pham. 2002. “Intelligent agents for automated one-to-many e-commerce negotiation”. In Australian Computer Science Communications. 24(1): 197-204. Australian Computer Society, Inc.
  7. L. Alem, R. Kowalczyk and M. Lee. 2002. "Supporting Electronic Negotiation for Intelligent Trading." Managing Business with Electronic Commerce: Issues and Trends (2002): 1-16.
  8. M. Bichler, G. Kersten and S. Strecker. 2003. “Towards a Structured Design of Electronic Negotiations” Group Decision and Negotiation. 12 (4): 311–335, Kluwer Academic Publishers. Printed in the Netherlands
  9. I. Marsa-Maestre, M. A. Lopez-Carmona, T. Ito, M. Zhang, Q. Bai and K. Fujita. 2014. Novel Insights in Agent-based Complex Automated Negotiation, Vol. 535. Springer.
  10. L. Thompson. 2001. The Mind and Heart of the Negotiator. Upper Saddle River, NJ: Prentice Hall.
  11. C. Bădică, M. Ganzha, M. Paprzycki and A. Pirvănescu. 2005. Combining rule-based and plug-in components in agents for flexible dynamic negotiations. Lecture notes in computer science, 3690, p.555.
  12. B. W. Arden. 1983. What can be automated: Computer Science and Engineering Research Study (COSERS). MIT Press.
  13. C. Bădică, A. Bădiţă, M. Ganzha, A. Iordache, and M. Paprzycki. 2005, November. Rule-Based framework for automated negotiation: initial implementation. In International Workshop on Rules and Rule Markup Languages for the Semantic Web (pp. 193-198). Springer, Berlin, Heidelberg.
  14. C. Bădică, A. Bădiţă and M. Ganzha. 2006. “Implementing rule based mechanisms for agent based price negotiations” SAC’06 April 23-27, , Dijon, France Copyright 2006 ACM 1595931082/ 06/0004
  15. A. R. Lomuscio, M. Wooldridge and N.R. Jennings. 1991. A classification scheme for negotiation in electronic commerce. In: F. Dignum, C. Sierra (Eds.): Agent Mediated Electronic Commerce: The European AgentLink Perspective, LNCS, Springer Verlag (2002) 19–33.
  16. B. An, K. M. Sim, L. G. Tang, S. Q. Li and D. J. Cheng. 2006. Continuous-time negotiation mechanism for software agents. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 36(6), 1261-1272
  17. Y.P. Sheng. 2004. A Dynamic and Adaptive Bargaining Algorithm for Intelligent Selling Agents in Electronic Commerce." Int. J. Comput. Syst. Signal 5.1 (2004): 43-57.
  18. G. Lai, K. Sycara, and C. Li. 2007. A pareto optimal model for automated multi-attribute negotiations. In Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems (p. 246). ACM.
  19. D. O. Ninan and O. A. Odejobi. Theoretical Issues in the Computational Modeling of Yorùbá Narratives. Workshop on Computational Models of Narrative 4–6 August 2013. Universität Hamburg, Hamburg, Germany
  20. J.A. Hassan, O.A. Odéjóbí, B.A. Ògúnfolákàn and A. Adéjùwón A. 2013. Ontology Engineering in Yorùbá Cultural Heritage Domain. Afr J. of Comp & ICTs. l 6(5):181-198.
Index Terms

Computer Science
Information Sciences

Keywords

Bargaining Yoruba Culture Computational Model.