F. Brandt, M. Brill, H. G. Seedig, and W. Suksompong. On the structure of stable tournament solutions. Economic Theory, 65(2):483–507, 2018. [ link | pdf ]

F. Brandt, M. Brill, and P. Harrenstein. Extending tournament solutions. Social Choice and Welfare, 51(2):193–222, 2018. [ link | pdf ]

H. Aziz, F. Brandl, F. Brandt, and M. Brill. On the tradeoff between efficiency and strategyproofness. Games and Economic Behavior, 110:1–18, 2018. [ link | pdf ]

F. Brandt, M. Brill, and W. Suksompong. An ordinal minimax theorem. Games and Economic Behavior, 95:107–112, 2016. [ link | pdf ]

F. Brandt and M. Brill. Computing dominance-based solution concepts. ACM Transactions on Economics and Computation, 5(2):1–22, 2016. [ link | pdf ]

F. Brandt, M. Brill, E. Hemaspaandra, and L. Hemaspaandra. Bypassing combinatorial protections: Polynomial-time algorithms for single-peaked electorates. Journal of Artificial Intelligence Research, 53:439–496, 2015. [ link | pdf ]

H. Aziz, F. Brandt, M. Brill, and J. Mestre. Computational aspects of random serial dictatorship. ACM SIGecom Exchanges, 13(2):26–30, 2014. [ link | pdf ]

F. Brandt, M. Brill, F. Fischer, and P. Harrenstein. Minimal retentive sets in tournaments. Social Choice and Welfare, 42(3):551–574, 2014. [ link | pdf ]

H. Aziz, M. Brill, and P. Harrenstein. Testing substitutability of weak preferences. Mathematical Social Sciences, 66(1):91–94, 2013.

H. Aziz, F. Brandt, and M. Brill. The computational complexity of random serial dictatorship. Economics Letters, 121(3):341–345, 2013. [ link | pdf ]

F. Brandt, M. Brill, F. Fischer, and P. Harrenstein. On the complexity of iterated weak dominance in constant-sum games. Theory of Computing Systems, 49(1):162–181, 2011. Special Issue on Algorithmic Game Theory. [ link | pdf ]

F. Brandt, M. Brill, F. Fischer, and J. Hoffmann. The computational complexity of weak saddles. Theory of Computing Systems, 49(1):139–161, 2011. Special Issue on Algorithmic Game Theory. [ link | pdf ]

F. Brandt, M. Brill, F. Fischer, P. Harrenstein, and J. Hoffmann. Computing Shapley's saddles. ACM SIGecom Exchanges, 8(2), 2009. [ link | pdf ]