Skip to main content

Social Choice Theory as a Foundation for Multiagent Systems

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8732))

Abstract

Social choice theory is the study of mechanisms for collective decision making. While originally concerned with modelling and analysing political decision making in groups of people, its basic principles, arguably, are equally relevant to modelling and analysing the kinds of interaction taking place in a multiagent system. In support of this position, I review examples from three strands of research in social choice theory: fair division, voting, and judgment aggregation.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arrow, K.J., Sen, A.K., Suzumura, K. (eds.): Handbook of Social Choice and Welfare. North-Holland (2002)

    Google Scholar 

  2. Brandt, F., Conitzer, V., Endriss, U.: Computational social choice. In: Weiss, G. (ed.) Multiagent Systems, pp. 213–283. MIT Press (2013)

    Google Scholar 

  3. Chevaleyre, Y., Endriss, U., Estivie, S., Maudet, N.: Welfare engineering in practice: On the variety of multiagent resource allocation problems. In: Gleizes, M.-P., Omicini, A., Zambonelli, F. (eds.) ESAW 2004. LNCS (LNAI), vol. 3451, pp. 335–347. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  4. Chevaleyre, Y., Endriss, U., Lang, J., Maudet, N.: A short introduction to computational social choice. In: van Leeuwen, J., Italiano, G.F., van der Hoek, W., Meinel, C., Sack, H., Plášil, F. (eds.) SOFSEM 2007. LNCS, vol. 4362, pp. 51–69. Springer, Heidelberg (2007)

    Google Scholar 

  5. Chevaleyre, Y., Endriss, U., Lang, J., Maudet, N.: Preference handling in combinatorial domains: From AI to social choice. AI Magazine 29(4), 37–46 (2008)

    Google Scholar 

  6. Endriss, U.: Reduction of economic inequality in combinatorial domains. In: Proc. 12th International Conference on Autonomous Agents and Multiagent Systems, AAMAS (2013)

    Google Scholar 

  7. Endriss, U., Grandi, U.: Binary aggregation by selection of the most representative voter. In: Proc. 28th AAAI Conference on Artificial Intelligence (2014)

    Google Scholar 

  8. Endriss, U., Pini, M.S., Rossi, F., Venable, K.B.: Preference aggregation over restricted ballot languages: Sincerity and strategy-proofness. In: Proc. 21st International Joint Conference on Artificial Intelligence, IJCAI (2009)

    Google Scholar 

  9. Grandi, U., Endriss, U.: Binary aggregation with integrity constraints. In: Proc. 22nd International Joint Conference on Artificial Intelligence, IJCAI (2011)

    Google Scholar 

  10. Konieczny, S., Pino Pérez, R.: Merging information under constraints: A logical framework. Journal of Logic and Computation 12(5), 773–808 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  11. Lang, J.: Logical preference representation and combinatorial vote. Annals of Mathematics and Artificial Intelligence 42(1-3), 37–71 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  12. Lang, J., Slavkovik, M.: How hard is it to compute majority-preserving judgment aggregation rules? In: Proc. 21st European Conference on Artificial Intelligence, ECAI (2014)

    Google Scholar 

  13. List, C., Puppe, C.: Judgment aggregation: A survey. In: Anand, P., Pattanaik, P., Puppe, C. (eds.) Handbook of Rational and Social Choice. Oxford University Press (2009)

    Google Scholar 

  14. Moulin, H.: Axioms of Cooperative Decision Making. Cambridge University Press (1988)

    Google Scholar 

  15. Pini, M.S., Rossi, F., Venable, K.B., Walsh, T.: Aggregating partially ordered preferences. Journal of Logic and Computation 19(3), 475–502 (2008)

    Google Scholar 

  16. Taylor, A.D.: Social Choice and the Mathematics of Manipulation. Cambridge University Press (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Endriss, U. (2014). Social Choice Theory as a Foundation for Multiagent Systems. In: Müller, J.P., Weyrich, M., Bazzan, A.L.C. (eds) Multiagent System Technologies. MATES 2014. Lecture Notes in Computer Science(), vol 8732. Springer, Cham. https://doi.org/10.1007/978-3-319-11584-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11584-9_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11583-2

  • Online ISBN: 978-3-319-11584-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics