Print Email Facebook Twitter Collective Decision Making through Self-regulation Title Collective Decision Making through Self-regulation: Mechanisms and Algorithms for Self-regulation in Decision-Theoretic Planning Author Scharpff, J.C.D. (TU Delft Algorithmics) Contributor de Weerdt, M.M. (promotor) Spaan, M.T.J. (promotor) Degree granting institution Delft University of Technology Date 2020-11-20 Abstract This thesis explores the potential of self-regulation in collective decision making to align interests and optimise joint performance. Demonstrated in the domain of road maintenance planning, this research contributes novel incentive mechanisms and algorithmic techniques to incite self-regulation and coordinate agent interactions, paired with a practical validation of the concept through serious gaming. The learnings of this work guide the design and implementation of future performance-based partnerships and advance the current state-of-the-art in sequential decisionmaking. Subject Self-regulationDecision-theoretic planning under uncertaintyDynamic mechanism designSerious gaming To reference this document use: https://doi.org/10.4233/uuid:63d60259-e0bf-4852-b38b-c1157c390b0d Publisher TRAIL Research School ISBN 978-90-5584-274-2 Series TRAIL Thesis Series, T2020 (17) Bibliographical note TRAIL Thesis Series no. T2020/17, the Netherlands TRAIL Research School Part of collection Institutional Repository Document type doctoral thesis Rights © 2020 J.C.D. Scharpff Files PDF Scharpff_Collective_Decis ... lation.pdf 8.96 MB Close viewer /islandora/object/uuid:63d60259-e0bf-4852-b38b-c1157c390b0d/datastream/OBJ/view