Publications

Books:

  • F. Thuijsman & F. Wagener eds (2016): Advances in Dynamic and Evolutionary Games: Theory, Applications, and Numerical Methods,  Springer, DOI 10.1007/978-3-319-28014-1.
  • F. Thuijsman (2005, 2nd edition 2017): Spelen en Delen (in English: To Play and To Share). Zebra-Reeks 22, Epsilon Uitgaven, Utrecht, ISBN 9050410952 (to order click here; voor scholen worden gastlessen over de onderwerpen uit dit boekje aangeboden).
  • P.J. Braspenning, F. Thuijsman, A.J.M.M. Weijters eds (1995): Artificial Neural Net­works, an Introduction to ANN Theory and Practice. Lecture Notes on Computer Science 931, Springer, Berlin, ISBN 3540594884 (to order click here).
  • F. Thuijsman (1992): Optimality and Equilibria in Stochastic Games. CWI-Tract 82, CWI, Amsterdam, ISBN 9061964067 (to order click here).

Refereed articles in international journals:

  • A. Tenev, P.J.J. Herings, R.J.A.P. Peeters, F. Thuijsman (2021): Naive imitation and partial cooperation in a local public goods model. Journal of Economic Behavior and Organization, DOI: 10.1016/j.jebo.2021.07.025.
  • B. Wölfl, H. te Rietmole, M. Salvioli, F. Thuijsman, J.S. Brown, B. Burgering, K. Staňková (2021): The contribution of evolutionary game theory to understanding and treating cancer. Dynamic Games and Applications, DOI: 10.1007/s13235-021-00397-w.
  • J. Cunningham, F. Thuijsman, R. Peeters, Y. Viossat, J. Brown, R. Gatenby, K. Staňková (2020): Optimal control to reach eco-evolutionary stability in metastatic castrate-resistant prostate cancer. PloS One 15(12): e0243386.
  • P. Bayer, P.J.J. Herings, R.J.A.P. Peeters, F. Thuijsman (2019): Adaptive learning in weighted network games. Journal of Economic Dynamics and Control, DOI: 10.1016/j.jedc.2019.06.004.
  • Bayer, P.J.J. Herings, R.J.A.P. Peeters, F. Thuijsman (2019): Adaptive learning in weighted network games. Coalition Theory Network Series, From Theory to Practice, 26.2019.
  • L. You, M. von Knobloch, T. Lopez, V. Peschen, S. Radcliffe, P.K. Sam, F. Thuijsman, K. Staňková, J.S. Brown (2019): Including blood vasculature into a game theoretic model of cancer dynamics. Games, 10, 13, DOI: 10.3390/g10010013.
  • L. You, J.S. Brown, F. Thuijsman, J.J. Cunningham, R.A. Gatenby, J. Zhang, K. Staňková (2017): Spatial vs. non-spatial eco-evolutionary dynamics in a tumor growth model. Journal of Theoretical Biology 435, 78-97, DOI 10.1016/j.jtbi.2017.08.022.
  • K. Schüller, K. Staňková, F. Thuijsman (2017): Game theory of pollution: national policies and their international effects. Games 8, 30, DOI: 10.3390/g8030030.
  • F. Thuijsman & F. Wagener eds (2016): Advances in Dynamic and Evolutionary Games: Theory, Applications, and Numerical Methods, Springer, DOI 10.1007/978-3-319-28014-1.
  • M. Abrudan, L You, K. Staňková, F. Thuijsman (2016): A game theoretical approach to microbial coexistence. In: F. Thuijsman & F. Wagener (eds.), Advances in Dynamic and Evolutionary Games: Theory, Applications, and Numerical Methods, Springer, pp 267-282.
  • A. Khan, R. Peeters, F. Thuijsman, P. Uyttendaele (2015): Network Characteristics enabling Efficient Coordination: A Simulation Study. Dynamic Games and Applications 6, 495-519, DOI: 10.1007/s13235-015-0169-8 (pdf).
  • K. Berg, J. Flesch, F. Thuijsman (2015): The Golden and Silver Ratios in Bargaining. The Fibonacci Quarterly 53, 130-134 (pdf).
  • P. Uyttendaele, F. Thuijsman (2015): Evolutionary Games and Local Dynamics. International Game Theory Review 17, pp15400, DOI: 10.1142/S0219198915400162. (pdf).
  • M. Bügler, C. Rempoulakis, R. Shacham, T. Keasar, F. Thuijsman (2013): Sex allocation in a polyembryonic parasitoid with female soldiers: an evolutionary simulation and an experimental test. PLoS ONE8(6): e64780. DOI: 10.1371/journal.pone.0064780 (pdf).
  • J. Flesch, T. Parthasarathy, F. Thuijsman, P. Uyttendaele (2013): Evolutionary stochastic games. Dynamic Games and Applications 3, 207-219, DOI:  10.1007/s13235-012-0059-2 (pdf).
  • P. Uyttendaele, F. Thuijsman, P. Collins, R. Peeters, G. Schoenmakers, R. Westra (2012): Evolutionary games and periodic fitness. Dynamic Games and Applications 2, 335-345, DOI: 10.1007/s13235-012-0048-5 (pdf).
  • T.J. de Jong, P.G.L. Klinkhamer, A.Shmida, F. Thuijsman (2011): On the evolution of protandry and the difference between preference and rank order in pollinator visitation. Evolutionary Ecology Research13, 307-314 (pdf).
  • T. de Jong, A. Shmida, F. Thuijsman (2008): Sex allocation in plants and the evolution of monoecy. Evolutionary Ecology Research 10, 1087-1109. (pdf).
  • G. Schoenmakers, J. Flesch, F. Thuijsman, O.J. Vrieze (2008): Repeated games with bonuses. Journal of  Optimization Theory and Applications 136, 459-473.  (pdf).
  • G. Schoenmakers, J. Flesch, F. Thuijsman (2007): Fictitious play in stochastic games. Mathematical Methods of Operations Research 66, 315-325.  (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (2007): Stochastic games with additive transitions. European Journal of Operational Research 179, 483-497. (pdf)
  • J. Flesch, F. Thuijsman, O.J. Vrieze (2003): Stochastic games with non-observable actions. Mathematical Methods of Operations Research 58, 459-475. (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (2002): Optimality in different strategy classes of zero-sum stochastic games. Mathematical Methods of Operations Research 56, 315-322. (pdf).
  • G. Schoenmakers, J. Flesch, F. Thuijsman (2002): Coordination games with vanishing actions. International Game Theory Review 4, 119-126.  (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (2001): Stationary strategies in zero-sum stochastic games. International Game Theory Review 3, 283-290. (pdf).
  • R. Bhattacharjee, F. Thuijsman, O.J. Vrieze (2000): Polytope games. Journal of  Optimization Theory and Applications 105, 567-588. (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (2000): Almost stationary ε-equilibria in zerosum stochastic games.  Journal of  Optimization Theory and Applications 105, 371-389. (pdf).
  • G.S.R. Murthy, S.K. Neogy, F. Thuijsman (2000): A note on P1 and Lipschitzian matrices. SIAM Journal on Matrix Analysis and Applications 21, 636-641. (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (1999): Markov strategies are better than stationary strategies. International Game Theory Review 1, 9-31. (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (1999): Average-discounted equilibria in stochastic games. European Journal of Operational Research 112, 187-195. (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (1998): Simplifying optimal strategies in stochastic games. SIAM Journal of Control and Optimization 36, 1331-1347. (pdf).
  • F. Thuijsman, O.J. Vrieze (1998): Total reward stochastic games and sensitive average strategies. Journal of Optimization Theory and Applications 98, 175-196. (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (1997): Cyclic Markov equilibria in a stochastic games. International Journal of Game Theory 26, 303-314. (pdf).
  • F. Thuijsman, T.E.S. Raghavan (1997): Perfect information stochastic games and related classes. International Journal of Game Theory 26, 403-408. (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (1996): Recursive repeated games with absorbing states. Mathematics of Operations Research 21, 1016-1022. (pdf).
  • R.A.M.G. Joosten, H.J.M. Peters, F. Thuijsman (1995): Unlearning by not doing: repeated games with vanishing actions. Games and Economic Behavior 9, 1-7. (pdf).
  • F. Thuijsman, B. Peleg, M. Amitai, A. Shmida (1995): Automata, matching and foraging behaviour of bees. Journal of Theoretical Biology 175, 301-316. (pdf).
  • F. Thuijsman, O.J. Vrieze (1993): Stationary ε-optimal strategies in stochastic games. OR Spektrum 15, 9-15. (pdf).
  • J.A. Filar, T.A. Schultz, F. Thuijsman, O.J. Vrieze (1991): Non-linear program­ming and stationary equilibria in stochastic games. Mathematical Programming 50, 227-237. (pdf).
  • F. Thuijsman, S.H. Tijs, O.J. Vrieze (1991): Perfect equilibria in stochastic games. Journal of Optimization Theory and Applications 69, 311-324. (pdf).
  • O.J. Vrieze, F. Thuijsman (1989): On equilibria in repeated games with absorbing states. International Journal of Game Theory 18, 293-310. (pdf).
  • F. Thuijsman, O.J. Vrieze (1987): The bad match; a total reward stochastic game. O­R Spektrum 9, 93-99. (pdf).

Refereed articles in books and proceedings:

  • M. Abrudan, L You, K.Stankova, F. Thuijsman (2016): A game theoretical approach to microbial coexistence. In: F. Thuijsman & F. Wagener (eds.), Advances in Dynamic and Evolutionary Games: Theory, Applications, and Numerical Methods, Springer, pp 267-282.
  • J. Derks, J. Kuipers, M. Tennekes, F. Thuijsman (2009): Existence of Nash networks in the one-way flow model of network formation. In: Modeling, Computation and Optimization, Eds S.K. Neogy, A.K. Das, R.B. Bapat, World Scientific, 9-20 (pdf).
  • M. Kaisers, K. Tuyls, F. Thuijsman, S. Parsons (2009): An evolutionary model of multi-agent learning with a varying exploration rate (Short Paper), Kaisers et al., Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AA-MAS 2009), Decker, Sichman, Sierra and Castelfranchi (eds.), May, 10–15, 2009, Budapest, Hungary, 1255-1256 (pdf).
  • M. Kaisers, K. Tuyls, F. Thuijsman, S. Parsons (2008): Auction analysis by normal form game approximation. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008), Sydney, 447-450 (pdf).
  • M. Kaisers, K. Tuyls, F. Thuijsman, S. Parsons (2008): Discovering the game in auctions. In: Proceedings 20-th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC 2008), Enschede, 113-120 (pdf).
  • F. Thuijsman (2003): Recursive games. In: Stochastic Games and Applications, Eds A. Neyman, S. Sorin, Kluwer, Dordrecht, 253-264. (pdf).
  • F. Thuijsman (2003): Repeated games with absorbing states. In: Stochastic Games and Applications, Eds A. Neyman, S. Sorin, Kluwer, Dordrecht, 205-213. (pdf).
  • F. Thuijsman (2003): The big match and the Paris match. In: Stochastic Games and Applications, Eds A. Neyman, S. Sorin, Kluwer, Dordrecht, 195-204. (pdf).
  • J. Flesch, F. Thuijsman, O.J. Vrieze (2002): n-person switching control stochastic games. In: ISDG2002, Eds L.A. Petrosjan, N.A. Zenkevich, St. Petersburg State University, 315-317.
  • F. Thuijsman, O.J. Vrieze (2002): Contributions to the theory of stochastic games. In: Chapters in Game Theory, Eds P.E.M. Borm, H.J.M. Peters, Theory and Decision Library, Kluwer, Dordrecht, 247-265.
  • J. Flesch, F. Thuijsman, O.J. Vrieze (1998): Improving strategies in stochastic games. Proceedings 37-th IEEE Conference on Decision and Control, Tampa, 2674-2679. (pdf).
  • F. Thuijsman, O.J. Vrieze (1998): The power of threats in stochastic games. In: Stochastic and Differential Games; Theory and Numerical Methods, Eds Bardi et al, Birkhauser, Boston, 339-353.
  • F. Thuijsman (1997): A survey on optimality and equilibria in stochastic games. In: Tien Jaar LNMB, Eds W. Klein Haneveld et al, CWI-Tract 122, CWI, Amsterdam, 233-242. (pdf).
  • R.A.M.G. Joosten, H.J.M. Peters, F. Thuijsman (1994): Games with changing payoffs. In: The Economics of Growth and Technical Change, Eds G. Silverberg, L. Soete, Edward Elgar Publishing, Cheltenham, 244-257.
  • F. Thuijsman (1992): An introduction to the theory of games. In: Heuristic Program­ming in Artificial Intelligence, The 3-rd Computer Olympiad, Eds H.J. van den Herik, V. Allis, Ellis Horwood Ltd, Chichester, 205-220.
  • F. Thuijsman, O.J. Vrieze (1992): Note on recursive games. In: Game Theory and Economic Applications, Eds B. Dutta et al, Lecture Notes in Economics and Mathe­matical Systems 389, Springer, Berlin, 133-145. (pdf).
  • S. Sinha, F. Thuijsman, S.H. Tijs (1991): Semi-infinite stochastic games. In: Stochastic Games and Related Topics, Eds T.E.S. Raghavan et al, Kluwer, Dor­drecht, 71-83.
  • F. Thuijsman, O.J. Vrieze (1991): Easy initial states in stochastic games. In: Stochastic Games and Related Topics, Eds T.E.S. Raghavan et al, Kluwer, Dor­drecht, 85-100.
  • F. Thuijsman (1988): Matrix spelen (in English: Matrix games). In: Excursies in de Wiskunde IV, Nijmegen University, 81-93.
  • F. Thuijsman (1987): Non-zerosum stochastic games. In: Surveys in Game Theory and Related Topics, Eds H.J.M. Peters, O.J. Vrieze, CWI-Tract 39, CWI, Amster­dam, 133-161.
  • F. Thuijsman, O.J. Vrieze (1987): Equilibria in stochastic games. Methods of Operations Research 57, 509-511.
  • O.J. Vrieze, F. Thuijsman (1987): Stochastic games and optimal stationary strategies; a survey. Methods of Operations Research 57, 513-529.

Papers in progress:

  • E. Boom, M. Mihalak, F. Thuijsman, M.H.M. Winands: Scheduling an AGV in flow-shop with single job-type without buffers.
  • A. Khan, M. ten Thij, F. Thuijsman, A. Wilbik: Using nucleolus in vertical federated learning for incentive allocation.
  • H. Gimbert, F. Horn, F. Thuijsman: A cycle value for matrix games.
  • K. Schüller, J.S. Brown, R.L.M. Peeters, K. Staňková, F. Thuijsman: Spatial effects on sex type competition in annual plants.
  • L. You, K. Schüller, J.S. Brown, K. Staňková, F. Thuijsman: Spatial assumptions in evolutionary games: would discrete and continuous-space dynamics differ?
  • K. Schüller, O. Edhan, Z. Hellman, R.L.M. Peeters, F. Thuijsman: Evolutionary fitness optimization and robustness: sexual and asexual reproduction in dynamic environments.
  • K. Staňková, F. Thuijsman, R.A. Gatenby, J.S. Brown: Understanding cancer through evolutionary game theory.
  • P. Collins, F. Thuijsman: Interior-point methods for Markov games.

Unpublished working papers:

  • J. Derks, J. Kuipers, M. Tennekes, F. Thuijsman (2008): Local dynamics in network formation. (pdf).
  • F. Thuijsman, O.J. Vrieze (1996): Threats in stochastic games; a survey. M96-05.
  • R.A.M.G. Joosten, H.J.M. Peters, F. Thuijsman (1994): Socially acceptable values for transferable utility games. M94-03.