Dynamic Contracting in Infrastructures

In this project, we study the design of an innovative, dynamic contracting procedure to be used in tendering maintenance of road segments. Based upon work in performance contracting we intend to research a monetary incentive payment structure that stimulates contractors to (1) achieve the desired quality of work, (2) consider the impact on society, the social cost, and (3) collaborate with other contractors to produce joint work plans.

Our research focuses on both the theoretical concerns as well as the practical application of dynamic contracting. The former entails a detailed study of the underlying computational problem with a focus on algorithmic approaches to tackle the multi-agent, multi-objective and self-interested aspects thereof. Through a serious game that models the domain of highway maintenance with its complex decisions and interactions, we evaluate the use of dynamic contracting in a near real-world setup, while practitioners can experiment and learn to understand the DC concepts.

2010 - 2014

People involved:
Joris Scharpff
Matthijs Spaan
Mathijs de Weerdt

Funded by:
Next Generation Infrastructures

More information:
Please contact Mathijs de Weerdt

Dynamic Contracting at Almende

Publications on Dynamic Contracting

Please note: This page contains links to PostScript files of articles that may be covered by copyright. You may browse the articles at your convenience. (In the same spirit as you may read a journal or a proceeding article in a public library). Retrieving, copying, or distributing these files, however, may violate the copyright protection law. We recommend that the user abides international law in accessing this article list.

  • Diederik M. Roijers and Joris Scharpff and Matthijs T. J. Spaan and Frans A. Oliehoek and Mathijs de Weerdt and Shimon Whiteson (2014). Bounded Approximations for Linear Multi-Objective Planning under Uncertainty. In Franc Grootjen, Maria Otworowska and Johan Kwisthout (Eds.), Proceedings of the 26th Benelux Conference on Artificial Intelligence, pp. 168-169. [ Bibtex ]
  • Joris Scharpff and Matthijs T. J. Spaan and Leentje Volker and Mathijs M. de Weerdt (2013). Planning under Uncertainty for Coordinating Infrastructural Maintenance. In s.n. (Eds.), Multi-agent Sequential Decision Making under Uncertainty. [ Bibtex ]
  • Joris Scharpff and Matthijs T. J. Spaan and Leentje Volker and Mathijs M. de Weerdt (2013). Coordinating Stochastic Multi-Agent Planning in a Private Values Setting. In s.n. (Eds.), Distributed and Multi-Agent Planning. [ Bibtex ]
  • Scharpff, J. and Matthijs T. J. Spaan and Weerdt, M.M. de (2012). Dynamic Mechanism Design for Efficient Planning under Uncertainty. In Proceedings of BNAIC 2012, pp. 218--225. [ Bibtex ]