Abstract
Principal Agent Theory (PAT) seeks to identify the incentives and sanctions that a consumer should apply when entering into a contract with a provider in order to maximise their own utility. However, identifying suitable contracts—maximising utility while minimising regret— is difficult, particularly when little information is available about provider competencies. In this paper we show that a global contract can be used to govern such interactions, derived from the properties of a representative agent. After describing how such a contract can be obtained, we analyse the contract utility space and its properties. Then, we show how this contract can be used to address the cold start problem and that it significantly outperforms other approaches. Finally, we discuss how our work can be integrated with existing research into multi-agent systems.
F. Cerutti—The work was performed when the author was affiliated with the University of Aberdeen.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
In other words, all agents have the same preference ordering \(\succ _o\) over tasks.
- 2.
Shared utility functions are widely employed in cooperative contexts [4], which is also the main focus of our research.
- 3.
We admit a small abuse of notation: formally \(delegate\) returns a tuple of two elements. In this case we silently assume that returns only the first element of such a tuple, namely the outcome of task \(\tau \) or \( abs \).
- 4.
The code can be found at the URL https://sourceforge.net/projects/global-approximations-pat/.
- 5.
References
Barabasi, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 11 (1999). http://arxiv.org/abs/cond-mat/9910332
Beckett, N.E., Park, B.: Use of category versus individuating information: making base rates salient. Pers. Soc. Psychol. Bull. 21(1), 21–31 (1995). http://psp.sagepub.com/content/21/1/21.refs
Bisdikian, C., Tang, Y., Cerutti, F., Oren, N.: A framework for using trust to assess risk in information sharing. In: Chesñevar, C.I., Onaindia, E., Ossowski, S., Vouros, G. (eds.) AT 2013. LNCS, vol. 8068, pp. 135–149. Springer, Heidelberg (2013). http://link.springer.com/content/pdf/10.10072F978-3-642-39860-5_11.pdf
Boella, G., Damiano, R., Lesmo, L.: Cooperation and group utility. In: Jennings, N., Lesprance, Y. (eds.) Intelligent Agents VI. LNCS, vol. 1757, pp. 319–333. Springer, Berlin Heidelberg (2000)
Burnett, C., Norman, T.J., Sycara, K.: Bootstrapping trust evaluations through stereotypes. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, pp. 241–248, May 2010. http://dl.acm.org/citation.cfm?id=1838206.1838240
Burnett, C., Norman, T.J., Sycara, K.: Trust decision-making in multi-agent systems. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence —IJCAI 2011, pp. 115–120. AAAI Press (2011). http://dl.acm.org/citation.cfm?id=2283396.2283417
Carmel, D., Markovitch, S.: Exploration strategies for model-based learning in multi-agent systems: exploration strategies. Auton. Agents Multi-agent Syst. 2(2), 141–172 (1999)
Cerutti, F., Oren, N., Burnett, C.: Global approximations for principal agent theory. In: Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), pp. 1845–1846 (2015). http://aamas2015.com/en/AAMAS_2015_USB/aamas/p1845.pdf
Cochran, W.G.: Sampling Techniques, 3rd edn. Wiley Inc, New York (1977)
Erdös, P., Rényi, A.: On random graphs. I. Publ. Math. Debrecen 6, 290–297 (1959)
Grossman, S.J., Hart, O.D.: An analysis of the principal-agent problem. Econometrica: J. Econometric Soc. 51(1), 7–45 (1983)
Hilton, J.L., von Hippel, W.: Stereotypes. Ann. Rev. Psychol. 47, 237–271 (1996). http://www.annualreviews.org//abs/10.1146/annurev.psych.47.1.237
Holmstrom, B.R., Tirole, J.: The theory of the firm. Handb. Ind. Organ. 1, 61–133 (1989)
Jøsang, A., Ismail, R.: The Beta reputation system. In: Proceedings of 15th Bled Electronic Commerce Conference (2002)
Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H.: The eigentrust algorithm for reputation management in P2P networks. In: Proceedings of the 12th International Conference on World Wide Web, pp. 640–651. ACM (2003)
Karimi, R., Freudenthaler, C., Nanopoulos, A., Schmidt-Thieme, L.: Active learning for aspect model in recommender systems. In: 2011 IEEE Symposium on Computational Intelligence and Data Mining, pp. 162–167 (2011). http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5949431
Kruskal, W.H., Wallis, W.A.: Use of ranks in one-criterion variance analysis. J. Am. Stat. Assoc. 47(260), 583–621 (1952). http://www.jstor.org/stable/2280779
Marsa-Maestre, I., Klein, M., Jonker, C.M., Aydoan, R.: From problems to protocols: towards a negotiation handbook. Decis. Support Syst. 60, 39–54 (2014). http://www.sciencedirect.com/science/article/pii/S016792361300167X
Meneguzzi, F., Miles, S., Luck, M., Holt, C., Smith, M.: Electronic contracting in aircraft aftercare: a case study. In: Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems – AAMAS 2008, pp. 63–70. International Foundation for Autonomous Agents and Multiagent Systems (2008). http://dl.acm.org/citation.cfm?id=1402795.1402807
Miles, S., Groth, P., Oren, N., Luck, M.: Handling mitigating circumstances for electronic contracts. In: Proceedings of the 7th European Workshop on Multi-Agent Systems (2009)
Miller, G.J., Whitford, A.B.: Trust and incentives in principal-agent negotiations: the ‘Insurance/Incentive Trade-Off’. J. Theor. Politics 14(2), 231–267 (2002). http://jtp.sagepub.com/content/14/2/231.abstract
Peterson, M.: An Introduction to Decision Theory. Cambridge University Press, Cambridge (2009). http://dx.doi.org/10.1017/CBO9780511800917
Popescul, A., Pennock, D.M., Lawrence, S.: Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments. In: Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, pp. 437–444. Morgan Kaufmann Publishers Inc. (2001)
Provost, F., Melville, P., Saar-Tsechansky, M.: Data acquisition and cost-effective predictive modeling. In: Proceedings of the Ninth International Conference on Electronic Commerce, p. 389, New York, USA (2007). http://dl.acm.org/citation.cfm?id=1282100.1282172
Schein, A.I., Popescul, A., Ungar, L.H., Pennock, D.M.: Methods and metrics for cold-start recommendations. In: Proceedings of the 25th International ACM SIGIR Conference on Research and Development in Information Retrieval, p. 253, New York, USA (2002) http://dl.acm.org/citation.cfm?id=564376.564421
Schmidt, S., Steele, R., Dillon, T.S., Chang, E.: Fuzzy trust evaluation and credibility development in multi-agent systems. Appl. Soft Comput. 7(2), 492–505 (2007). http://www.sciencedirect.com/science/article/pii/S1568494606000755
Tang, Y., Cerutti, F., Oren, N., Bisdikian, C.: Reasoning about the impacts of information sharing. Inf. Syst. Front. J. 17(4), 725–742 (2014). http://link.springer.com/article/10.1007%2Fs10796-014-9521-6
Teacy, W.T.L., Patel, J., Jennings, N.R., Luck, M.: TRAVOS: trust and reputation in the context of inaccurate information sources. Auton. Agents Multi-agent Syst. 12(2), 183–198 (2006). http://link.springer.com/10.1007/s10458-006-5952-x
Wilcoxon, F.: Individual comparisons by ranking methods. Biometrics Bull. 1(6), 80–83 (1945)
Acknowledgments
We thank the anonymous reviewers for their helpful comments.
Research was sponsored by US Army Research laboratory and the UK Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the US Army Research Laboratory, the U.S. Government, the UK Ministry of Defense, or the UK Government. The US and UK Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.
This work was performed using the Maxwell High Performance Computing Cluster of the University of Aberdeen IT Service (http://www.abdn.ac.uk/staffnet/research/research-computing), provided by Dell Inc. and supported by Alces Software.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Cerutti, F., Burnett, C., Oren, N. (2016). Representative Agents and the Cold Start Problem in Contract Negotiation. In: Dignum, V., Noriega, P., Sensoy, M., Sichman, J. (eds) Coordination, Organizations, Institutions, and Norms in Agent Systems XI. COIN 2015. Lecture Notes in Computer Science(), vol 9628. Springer, Cham. https://doi.org/10.1007/978-3-319-42691-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-42691-4_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42690-7
Online ISBN: 978-3-319-42691-4
eBook Packages: Computer ScienceComputer Science (R0)