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Dr Frank Thuijsman (F.)

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Books:

  1. 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.
  2. F. Thuijsman (2005, 2017 2nd edition): To Play and to Share (in Dutch: Spelen en Delen). Zebra-Series 22, Epsilon Uitgaven, Utrecht, ISBN 9050410952.
  3. 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.
  4. F. Thuijsman (1992): Optimality and Equilibria in Stochastic Games. CWI-Tract 82, CWI, Amsterdam, ISBN 9061964067.

Refereed articles in international journals:

  1. 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. Accepted for publication in the Journal of Economic Behavior and Organization.
  2. 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. Accepted for publication in Dynamic Games and Applications.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. K. Schüller, K. Staňková, F. Thuijsman (2017): Game theory of pollution: Is there a way to make all EU countries environmentally friendly? Games 8, 30, DOI: 10.3390/g8030030.
  8. A. Khan, R. Peeters, F. Thuijsman, P. Uyttendaele (2016): Network Characteristics enabling Efficient Coordination: A Simulation Study.Dynamic Games and Applications 6, 495-519, DOI: 10.1007/s13235-015-0169-8.
  9. K. Berg, J. Flesch, F. Thuijsman (2015): The Golden and Silver Ratios in Bargaining. The Fibonacci Quarterly 53, 130-134.
  10. P. Uyttendaele, F. Thuijsman (2015): Evolutionary Games and Local Dynamics 17, International Game Theory Review, p. 1540016, DOI: 10.1142/S0219198915400162.
  11. 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 ONE 8(6): e64780, DOI:10.1371/journal.pone.0064780.
  12. 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).
  13. 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).
  14. 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 Research 13, 307-314.
  15. T.J. de Jong, A. Shmida, F. Thuijsman (2008): Sex allocation in plants and the evolution of monoecy. Evolutionary Ecology Research 10, 1087-1109.
  16. G. Schoenmakers, J. Flesch, F. Thuijsman, O.J. Vrieze (2008): Repeated games with bonuses. Journal of Optimization Theory and Applications 136, 459-473.
  17. J. Flesch, F. Thuijsman, O.J. Vrieze (2007): Stochastic games with additive transitions. European Journal of Operational Research 179, 483-497.
  18. G. Schoenmakers, J. Flesch, F. Thuijsman, O.J. Vrieze (2007): Fictitious play in stochastic games. Mathematical Methods of Operations Research 66, 315-325.
  19. J. Flesch, F. Thuijsman, O.J. Vrieze (2003): Stochastic games with non-observable actions. Mathematical Methods of Operations Research 58, 459-475.
  20. 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.
  21. G. Schoenmakers, J. Flesch, F. Thuijsman (2002): Coordination games with vanishing actions. International Game Theory Review 4, 119-126.
  22. J. Flesch, F. Thuijsman, O.J. Vrieze (2001): Stationary strategies in zero-sum stochastic games. International Game Theory Review 3, 283-290.
  23. R. Bhattacharjee, F. Thuijsman, O.J. Vrieze (2000): Polytope games.Journal of  Optimization Theory and Applications 105, 567-588.
  24. 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.
  25. 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.
  26. J. Flesch, F. Thuijsman, O.J. Vrieze (1999): Markov strategies are better than stationary strategies. International Game Theory Review 1, 9-31.
  27. J. Flesch, F. Thuijsman, O.J. Vrieze (1999): Average-discounted equilibria in stochastic games. European Journal of Operational Research 112, 187-195.
  28. J. Flesch, F. Thuijsman, O.J. Vrieze (1998): Simplifying optimal strategies in stochastic games. SIAM Journal of Control and Optimization 36, 1331-1347.
  29. F. Thuijsman, O.J. Vrieze (1998): Total reward stochastic games and sensitive average strategies. Journal of Optimization Theory and Applications 98, 175-196.
  30. J. Flesch, F. Thuijsman, O.J. Vrieze (1997): Cyclic Markov equilibria in a stochastic games. International Journal of Game Theory 26, 303-314.
  31. F. Thuijsman, T.E.S. Raghavan (1997): Perfect information stochastic games and related classes. International Journal of Game Theory 26, 403-408.
  32. J. Flesch, F. Thuijsman, O.J. Vrieze (1996): Recursive repeated games with absorbing states. Mathematics of Operations Research 21, 1016-1022.
  33. 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.
  34. F. Thuijsman, B. Peleg, M. Amitai, A. Shmida (1995): Automata, matching and foraging behaviour of bees. Journal of Theoretical Biology 175, 301-316.
  35. F. Thuijsman, O.J. Vrieze (1993): Stationary ε-optimal strategies in stochastic games. OR Spektrum 15, 9-15.
  36. 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.
  37. F. Thuijsman, S.H. Tijs, O.J. Vrieze (1991): Perfect equilibria in stochastic games. Journal of Optimization Theory and Applications 69, 311-324.
  38. O.J. Vrieze, F. Thuijsman (1989): On equilibria in repeated games with absorbing states. International Journal of Game Theory 18, 293-310.
  39. F. Thuijsman, O.J. Vrieze (1987): The bad match; a total reward stochastic game. O­R Spektrum 9, 93-99.

Refereed articles in books and proceedings:

  1. A. Khan, M. ten Thij, F. Thuijsman, A. Wilbik: Using the nucleolus for incentive allocation in vertical federated learning. In: Proceedings of the 2nd International Conference on Federated Learning Technologies and Applications (FLTA), IEEE, pp 224-231.
  2. E. Boom, M. Mihalak, F. Thuijsman, M.H.M. Winands (2024): Scheduling an AGV in flow-shop with single job-type without buffers. In: Proceedings of the 13th International Conference on Operations Research and Enterprise Systems – ICORES. SCITEPRESS, Vol. 1. pp. 325-332.
  3. M. Abrudan, L You, K.Stankova, F. Thuijsman (2016): A game theoretical approach to microbial coexistence. In: Advances in Dynamic and Evolutionary Games: Theory, Applications, and Numerical Methods, F. Thuijsman & F. Wagener (eds.), Springer, pp. 267-282.
  4. 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
  5. M. Kaisers, K. Tuyls, F. Thuijsman, S. Parsons (2009): An evolutionary model of multi-agent learning with a varying exploration rate (Short Paper), 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.
  6. 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.
  7. 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.
  8. F. Thuijsman (2003): Recursive games. In: Stochastic Games and Applications, Eds A. Neyman, S. Sorin, Kluwer, Dordrecht, 253-264.
  9. F. Thuijsman (2003): Repeated games with absorbing states. In: Stochastic Games and Applications, Eds A. Neyman, S. Sorin, Kluwer, Dordrecht, 205-213.
  10. F. Thuijsman (2003): The big match and the Paris match. In: Stochastic Games and Applications, Eds A. Neyman, S. Sorin, Kluwer, Dordrecht, 195-204.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. F. Thuijsman (1988): Matrix games (in Dutch: Matrixspelen). In: Excursies in de Wiskunde IV, Nijmegen University, 81-93.
  22. 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.
  23. F. Thuijsman, O.J. Vrieze (1987): Equilibria in stochastic games. Methods of Operations Research 57, 509-511.
  24. O.J. Vrieze, F. Thuijsman (1987): Stochastic games and optimal stationary strategies; a survey. Methods of Operations Research 57, 513-529.

Forthcoming articles:

  1. V. Ardévol Martinez, N.G. Laleh, M. Salvioli, F. Thuijsman, J.S. Brown, R. Cavill, J.N. Kather and K. Staňková (2022): Improving mathematical models of cancer by including resistance to therapy: a  study in non-small cell lung cancer. bioRxiv  DOI: 10.1101/2021.10.29.466444.

 

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