Skip to main content
Log in

Agent-Based Reallocation Problem on Social Networks

  • Published:
Group Decision and Negotiation Aims and scope Submit manuscript

Abstract

Resource reallocation problems aim to determine an allocation maximizing a given objective function. Numerous applications are based on the assumption of restricted contacts between entities but, up to now, studies have been based on unrealistic contexts. Indeed, most of the time, agents are omniscient and/or have complete communication abilities, which are not plausible assumptions in many applications. A solution does not only consist in an optimal allocation, but in a sequence of transactions changing an initial allocation into an optimal solution. We show that the individual rationality does not allow the achievement of socially optimal allocations, and we propose a more suitable criterion: the sociability. Our method provides a sequence of transactions leading to an optimal allocation, with any restriction on agents’ communication abilities. Provided solutions can be viewed as emergent phenomena.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Albert R, Barabási A (2002) Statistical mechanics of complex networks. Rev Mod Phys 74(1):47–97

    Article  Google Scholar 

  • Biggs N, Lloyd E, Wilson R (1986) Graph theory. Oxford University Press, USA

    Google Scholar 

  • Bollobás B (2001) Random graphs. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Chevaleyre Y, Endriss U, Lang J, Maudet N (2005) Negotiating over small bundles of resources. In: AAMAS’05, pp 296–302

  • Chevaleyre Y, Dunne P, Endriss U, Lang J, Lemaitre M, Maudet N, Padget J, Phelps S, Rodriguez-Aguilar J, Sousa P (2006) Issues in multiagent resource allocation. Informatica 30(1):3

    Google Scholar 

  • Chevaleyre Y, Endriss U, Maudet N (2010) Simple negotiation schemes for agents with simple preferences: sufficiency, necessity and maximality. Auton Agents Multi-Agent Syst 20(2):234–259

    Google Scholar 

  • Doyle J (2004) Prospects for preferences. Comput Intell 20(2):111–136

    Article  Google Scholar 

  • Dunne P, Wooldridge M, Laurence M (2005) The complexity of contract negotiation. Artif Intell 164 (1–2):23–46

    Article  Google Scholar 

  • Endriss U, Maudet N, Sadri F, Toni F (2006) Negotiating socially optimal allocations of resources. J Artif Intell Res 25:315–348

    Google Scholar 

  • Erdős P, Rényi A (1959) On random graphs. Publicationes Mathematicae 6:290–297

    Google Scholar 

  • Nongaillard A, Mathieu P (2009a) A multi-agent resource negotiation for social welfare. In: IAT’09—proceedings of the IEEE/WIC/ACM international conference on intelligent agent technology, pp 58–62

  • Nongaillard A, Mathieu P (2009b) Allocation de ressources et maximisation de bien-être social. In: Actes des Cinquièmes Journées Francophones sur les Modèles Formels de l’Interaction (MFI’09), pp 243–254

  • Nongaillard A, Mathieu P, Jaumard B (2009) A realistic approach to solve the nash welfare. In: Practical applications of agents and multi-agents systems (PAAMS’2009), vol 55, pp 374–382

  • Sandholm T (1998) Contract types for satisficing task allocation: I theoretical results. In: AAAI spring symposium: satisficing models, vol 99. AAAI Press, USA, California, Stanford University, pp 68–75

  • Sandholm T (2002) Algorithm for optimal winner determination in combinatorial auctions. Artif Intell 135(1–2):1–54

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antoine Nongaillard.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nongaillard, A., Mathieu, P. Agent-Based Reallocation Problem on Social Networks. Group Decis Negot 23, 1067–1083 (2014). https://doi.org/10.1007/s10726-012-9336-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10726-012-9336-0

Keywords

Navigation