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Social Belief Revisioning in Multi-Agent System on the basis of Social and Moral Factors

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Jasdeep Kaur, Harjot Kaur
10.5120/ijca2016911007

Jasdeep Kaur and Harjot Kaur. Social Belief Revisioning in Multi-Agent System on the basis of Social and Moral Factors. International Journal of Computer Applications 148(2):13-15, August 2016. BibTeX

@article{10.5120/ijca2016911007,
	author = {Jasdeep Kaur and Harjot Kaur},
	title = {Social Belief Revisioning in Multi-Agent System on the basis of Social and Moral Factors},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2016},
	volume = {148},
	number = {2},
	month = {Aug},
	year = {2016},
	issn = {0975-8887},
	pages = {13-15},
	numpages = {3},
	url = {http://www.ijcaonline.org/archives/volume148/number2/25728-2016911007},
	doi = {10.5120/ijca2016911007},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The organization will be affected by the presence of employees. The dedication of employees will decide whether organization will earn profit or not. The simulative environment is constructed in the proposed paper using Netlogo in order to analyse impact of agents within the organization. The belief revisioning is considered as a factor of altering the faith of the agents due to which agents may alter their behaviour hence impacting the growth of organization. The simulative environment also suggests the ways by which beliefs of agents are revised. The case study on market research is considered in the proposed paper.

References

  1. M.-A. Williams, “Belief revision as database update,” in Proceedings Intelligent Information Systems. IIS’97, pp. 410–414.
  2. M. Wu, “Priority and relevance in belief revision,” in 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, 2011, vol. 1, pp. 459–463.
  3. S. Tojo, “Collective belief revision in linear algebra,” pp. 175–178.
  4. G. D. I. Luna, Y. M. Martinez, and L. C. A. Robles, “Applying Max-2SAT to Efficient Belief Revision,” in 2011 10th Mexican International Conference on Artificial Intelligence, 2011, pp. 9–15.
  5. A. F. Dragoni and P. Puliti, “Distributed belief revision versus distributed truth maintenance,” in Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94, pp. 499–505.
  6. R. Y. K. Lau, B. Essam, and S. Y. Chan, “Belief revision for adaptive negotiation agents,” in IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003., pp. 196–202.
  7. S. M. Sripada, “A temporal approach to belief revision in knowledge bases,” in Proceedings of 9th IEEE Conference on Artificial Intelligence for Applications, pp. 56–62.
  8. H. Decker and R. De Juan-Marin, “Inconsistency-Tolerant Belief Revision for Distributed Decision Support,” in 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 2013, pp. 387–393.
  9. O. Doukari, E. Wurbel, and R. Jeansoulin, “A New Model for Belief Representation and Belief Revision Based on Inconsistencies Locality,” in 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007), 2007, vol. 2, pp. 262–269.
  10. A. Kini and J. Choobineh, “Trust in electronic commerce: definition and theoretical considerations,” in Proceedings of the Thirty-First Hawaii International Conference on System Sciences, vol. 4, pp. 51–61.
  11. B. M. DePaulo, J. J. Lindsay, B. E. Malone, L. Muhlenbruck, K. Charlton, and H. Cooper, “Cues to deception,” Psychol. Bull., vol. 129, no. 1, pp. 74–118, 2003.
  12. P. Date, “Encryption in the Cloud,” no. April, pp. 1547–1551, 2014.
  13. B. A. R, V. A. A, L. M. P, P. A. B, and M. Westley, “Forecasting Model for Criminality in Barangay Commonwealth , Quezon City , Philippines using Data Mining Techniques,” vol. 3, pp. 28–33, 2015.
  14. N. Dubey and S. K. Chaturvedi, “A Survey Paper on Crime Prediction Technique Using Data,” vol. 4, no. 3, pp. 396–400, 2014.
  15. A. Morris, W. Ross, and M. Ulieru, “Modelling culture in multi-agent organizations,” Adv. Agent Technol., vol. 7068, pp. 65–79, 2012.
  16. M. Systems, A. Morris, W. Ross, H. Hosseini, and M. Ulieru, “Modeling Culture with Complex ,” Science (80).
  17. J. T. Hancock, “Digital Deception: Why, When and How People Lie Online,” Oxford Handb. Internet Psychol., pp. 289–301, 2007.

Keywords

Belief Revisioning, Agents, Organization, Multi-agent systems