Evaluating social choice techniques into intelligent environments by agent based social simulation

Information Sciences

Volumn 286, Issue , 2014, Pages 102-124

  Serrano, Emilio ^a   Moncada, Pablo ^a   Garijo, Mercedes ^a   Iglesias, Carlos A ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Agent based social simulation; Agreement technology; Ambient intelligence; Cluster analysis; Multiagent systems; Social choice

Indexed keywords

MULTI AGENT SYSTEMS; VOTING MACHINES;

AGENT BASED SOCIAL SIMULATION; AGENT-BASED SOCIAL SIMULATIONS; AGREEMENT TECHNOLOGIES; AMBIENT INTELLIGENCE; AMBIENT INTELLIGENCE SYSTEMS; CLUSTER ANALYSIS TECHNIQUE; INTELLIGENT ENVIRONMENT; SOCIAL CHOICE;

CLUSTER ANALYSIS;

EID: 84906663398     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.07.021     Document Type: Article

References (62)

1. CALISTA (Agents Technology and Services Engineering for diagnostics and configuration of home network using a mobile phone). < http://goo.gl/bp1i5J >. Reference: TEC2012-32457.
2. Experimental results for the case study presented in this paper. < http://www.gsi.dit.upm.es/eserrano/VoteSimExperiments/ >.
3. Glossary of statistical terms, reproducibility. < http://www. statistics.com/index.php?page=glossary&term-id=833 >.
4. NetLogo website. < http://ccl.northwestern.edu/netlogo/ >.
5. THOFU (Tecnologfas para el HOtel del FUturo). < http://www.thofu.es/ >. Reference: CEN-2010-1019.
6. UbikSim website. < https://github.com/emilioserra/UbikSim/wiki >.
7. VoteSim video. < http://www.youtube.com/watch?v=T5E-hOpxCs >.
8. VoteSim website. < https://github.com/gsi-upm/VoteSim/wiki >.
9. J. Alcantud, R. de AndrTs Calle, and J. Cascön On measures of cohesiveness under dichotomous opinions: some characterizations of approval consensus measures Inform. Sci. 240 0 2013 45 55
10. first ed. K.J. Arrow, A.K. Sen, and K. Suzumura Handbook of Social Choice and Welfare vol. 2 2011 Elsevier
11. A.M. Aseere, E.H. Gerding, and D.E. Millard A voting-based agent system for course selection in e-learning Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - WI-IAT '10 vol. 02 2010 IEEE Computer Society Washington, DC, USA 303 310
12. M. Balinski, and R. Laraki Majority Judgment: Measuring, Ranking, and Electing 2010 Mit Press
13. J. Barton, and V. Vijayaraghavan Ubiwise: A Ubiquitous Wireless Infrastructure Simulation Environment 2002 HP Labs
14. M. Benyoucef, and R.K. Keller An evaluation of formalisms for negotiations in e-commerce Proceedings of the Third International Workshop on Distributed Communities on the Web DCW '00 2000 Springer-Verlag London, UK 45 54
15. R.R. Bouckaert, E. Frank, M. Hall, R. Kirkby, P. Reutemann, A. Seewald, D. Scuse, Weka manual (3.7.1), June 2009. < http://prdownloads.sourceforge. net/weka/WekaManual-3-7-1.pdf?download >.
16. J. Breuker, and W. Van de Velde CommonKADS library for expertise modelling: reusable problem solving components Frontiers in Artificial Intelligence and Applications 1994 IOS Press
17. F. Buccafurri, V.D. Foti, G. Lax, A. Nocera, and D. Ursino Bridge analysis in a social internetworking scenario Inform. Sci. 224 0 2013 1 18
18. A. Chavez, P. Maes, Kasbah: An Agent Marketplace for Buying and Selling Goods Overview of Kasbah, Media.
19. D.J. Cook, J.C. Augusto, and V.R. Jakkula Ambient intelligence: technologies, applications, and opportunities Pervasive Mobile Comput. 5 4 2009 277 298
20. A.P. Dempster, N.M. Laird, and D.B. Rubin Maximum likelihood from incomplete data via the em algorithm J. Roy. Stat. Soc. Ser. B 39 1 1977 1 38
21. A. Drogoul, D. Vanbergue, and T. Meurisse Multi-agent based simulation: where are the agents? Proceedings of the 3rd International Conference on Multi-agent-based Simulation II MABS'02 2003 Springer-Verlag Berlin, Heidelberg 1 15
22. J.J. Durán, C.A. Iglesias, An Ontology for Formalising Agreement Patterns in Auction Markets, 2010.
23. A. Fip FIPA ACL message structure specification (SC00061G) FIPA TC Commun. 2002
24. P.A. Fishwick Simulation model design and execution: building digital worlds Prentice Hall International Series in Industrial and Systems Engineering 1995 Prentice Hall Englewood Cliffs, NJ
25. P.A. Fishwick Computer simulation: growth through extension Trans. Soc. Comput. Simul. Int. 14 1997 13 23
26. J. Garcfa-Lapresta, M. Martfnez-Panero, and L. Meneses Defining the borda count in a linguistic decision making context Inform. Sci. 179 14 2009 2309 2316
27. I. Garcia, S. Pajares, L. Sebastia, and E. Onaindia Preference elicitation techniques for group recommender systems Inform. Sci. 189 0 2012 155 175
28. T. Garcia-Valverde, F. Campuzano, E. Serrano, A. Villa, and J.A. Botia Simulation of human behaviours for the validation of ambient intelligence services: a methodological approach J. Ambient Intell. Smart Environ. 4 3 2012 163 181
29. T. Garcia-Valverde, E. Serrano, and J. Botia Combining the real world with simulations for a robust testing of ambient intelligence services Artif. Intell. Rev. 2012 1 24
30. N. Gilbert, and K.G. Troitzsch Simulation for the Social Scientist 2005 Open University Press
31. J. Holubiec, G. Szkatula, and D. Wagner A knowledge-based model of parliamentary election Inform. Sci. 202 2012 24 40
32. C.A. Iglesias, M. Garijo, J.I. Fernández-Villamor, J.J. Durán, Agreement Patterns, 2009.
33. T. Ito, H. Hattori, M. Zhang, and T. Matsuo Rational, robust, and secure negotiations in multi-agent systems Studies in Computational Intelligence 2008 Springer
34. N.R. Jennings Agreement technologies Proceedings of the 33rd Conference on Current Trends in Theory and Practice of Computer Science SOFSEM '07 2007 Springer-Verlag Berlin, Heidelberg 111 113
35. O. Kwon, J.M. Shin, and S.W. Kim Context-aware multi-agent approach to pervasive negotiation support systems Expert Syst. Appl. 31 2 2006 275 285
36. J.-S. Lee, and S. Olafsson A meta-learning approach for determining the number of clusters with consideration of nearest neighbors Inform. Sci. 232 0 2013 208 224
37. O. Linda, and M. Manic Interval type-2 fuzzy voter design for fault tolerant systems Inform. Sci. 181 14 2011 2933 2950
38. H. Liu, H. Darabi, P. Banerjee, and J. Liu Survey of wireless indoor positioning techniques and systems IEEE Trans. Syst. Man Cybernet. Part C 37 6 2007 1067 1080
39. M.S. Mahmoud, and H.M. Khalid Expectation maximization approach to data-based fault diagnostics Inform. Sci. 235 0 2013 80 96
40. E. Mangina, J. Carbo, and J. Molina Agent-based ubiquitous computing Atlantis Ambient and Pervasive Intelligence 2010 We Publish Books
41. W.D. Mulder Optimal clustering in the context of overlapping cluster analysis Inform. Sci. 223 0 2013 56 74
42. H. Nishikawa, S. Yamamoto, M. Tamai, K. Nishigaki, T. Kitani, N. Shibata, K. Yasumoto, M. Ito, UbiREAL: Realistic smartspace simulator for systematic testing, UbiComp 2006: Ubiquitous Computing, 2006, pp. 459-476.
43. H.S. Nwana Software agents: an overview Knowl. Eng. Rev. 11 1996 205 244
44. A. Oluyomi, Patterns and protocols for agent oriented software development, PhD, The University of Melbourne, 2006.
45. E. O'Neill, M. Klepal, D. Lewis, T. O'Donnell, D. O'Sullivan, and D. Pesch A testbed for evaluating human interaction with ubiquitous computing environments Proceedings of the First International Conference on Testbeds and Research Infrastructures for the DEvelopment of NeTworks and COMmunities TRIDENTCOM '05 2005 IEEE Computer Society Washington, DC, USA 60 69
46. A. Paschke, C. Kiss, and S. Al-Hunaty A pattern language for decentralized coordination and negotiation protocols Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service EEE '05 2005 IEEE Computer Society Washington, DC, USA 404 407
47. A.D. Procaccia, How is voting theory really useful in multiagent systems? < http://www.cs.cmu.edu/arielpro/papers/vote4mas.pdf >.
48. L.A. San Martín, V.M. Peláez, R. González, A. Campos, and V. Lobato Environmental user-preference learning for smart homes: an autonomous approach J. Ambient Intell. Smart Environ. 2 3 2010 327 342
49. D.C. Schmidt Using design patterns to develop reusable object-oriented communication software Commun. ACM 38 10 1995 65 74
50. E. Serrano, and J. Botia Validating ambient intelligence based ubiquitous computing systems by means of artificial societies Inform. Sci. 222 0 2013 3 24
51. E. Serrano, A. Muñoz, and J. Botia An approach to debug interactions in multi-agent system software tests Inform. Sci. 205 0 2012 38 57
52. E. Serrano, A. Quirin, J. Botia, and O. Cordön Debugging complex software systems by means of pathfinder networks Inform. Sci. 180 5 2010 561 583
53. E. Serrano, M. Rovatsos, and J.A. Botfa Data mining agent conversations: a qualitative approach to multiagent systems analysis Inform. Sci. 230 0 2013 132 146
54. E. Serrano, M. Rovatsos, and J. Botia A qualitative reputation system for multiagent systems with protocol-based communication Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - AAMAS '12 vol. 1 2012 International Foundation for Autonomous Agents and Multiagent Systems Richland, SC 307 314
55. E. Serrano, J.M. Such, J. Botía, and A. García-Fornes Strategies for avoiding preference profiling in agent-based e-commerce environments Appl. Intell. 40 1 2014 127 142
56. Y. Shoham, and K. Leyton-Brown Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations 2008 Cambridge University Press New York, NY, USA
57. R.G. Smith The contract net protocol: high-level communication and control in a distributed problem solver IEEE Transactions on Computers vol. C-29 1980 IEEE Computer Society Washington, DC, USA 1104 1113
58. S.Y.W. Su, C. Huang, and J. Hammer A replicable web-based negotiation server for e-commerce Proceedings of the 33rd Hawaii International Conference on System Sciences - vol. 8 HICSS '00 2000 IEEE Computer Society Washington, DC, USA 8016
59. V.A.M. Tamma, S. Phelps, I. Dickinson, and M. Wooldridge Ontologies for supporting negotiation in e-commerce Eng. Appl. AI 18 2 2005 223 236
60. L. Tang, X. Zhou, C. Becker, Z. Yu, G. Schiele, Situation-based design: a rapid approach for pervasive application development, in: UIC/ATC, 2012, pp. 128-135.
61. D.I. Tapia, J.A. Fraile, S. Rodrfguez, R.S. Alonso, and J.M. Corchado Integrating hardware agents into an enhanced multi-agent architecture for ambient intelligence systems Inform. Sci. 222 0 2013 47 65
62. M. Woolridge, and M.J. Wooldridge Introduction to Multiagent Systems 2001 John Wiley & Sons, Inc. New York, NY, USA