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Stanislaw Kazmierowski

dblp:356/2130 · DBLP profile ↗
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3ranked-venue papers
2as first author
3since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021Theory of computation · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Algorithmic game theory and mechanism design · 95% Algorithms and data structures · 5%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › social choice
computational social choice
1.012026
Computing Equilibrium Nominations in Presidential Elections · AAAI 2026
Algorithmic game theory and mechanism design › social choice › restricted preference domains
single-peaked preferences
1.012026
Computing Equilibrium Nominations in Presidential Elections · AAAI 2026
Algorithmic game theory and mechanism design › social choice › computational social choice › election control
strategic nomination
1.012026
Computing Equilibrium Nominations in Presidential Elections · AAAI 2026
Algorithmic game theory and mechanism design › zero-sum game
colonel blotto game
0.912025
Equilibria of the Colonel Blotto Games with Costs · AAAI 2025
Algorithmic game theory and mechanism design
equilibrium computation
0.912025
Equilibria of the Colonel Blotto Games with Costs · AAAI 2025
Algorithmic game theory and mechanism design › solution concepts in games › equilibrium concepts
nash equilibrium
0.912025
Equilibria of the Colonel Blotto Games with Costs · AAAI 2025
Algorithms and data structures
polynomial-time algorithms
0.312026
Computing Equilibrium Nominations in Presidential Elections · AAAI 2026

Methods — techniques the papers use, named apart from their topics

preference recognition algorithm · 1.0game theory · 1.0polynomial-time algorithm · 0.9
YearPublicationVenuePosition
2026 Computing Equilibrium Nominations in Presidential Elections
abstract
We study strategic candidate nomination by parties in elections decided by Plurality voting. Each party selects a nominee before the election, and the winner is chosen from the nominated candidates based on the voters' preferences. We introduce a new restriction on these preferences, which we call party-aligned single-peakedness: all voters agree on a common ordering of the parties along an ideological axis, but may differ in their perceptions of the positions of individual candidates within each party. The preferences of each voter are single-peaked with respect to their own axis over the candidates, which is consistent with the global ordering of the parties. We present a polynomial-time algorithm for recognizing whether a preference profile satisfies party-aligned single-peakedness. In this domain, we give polynomial-time algorithms for deciding whether a given party can become the winner under some (or all) nominations, and whether this can occur in some pure Nash equilibrium. We also prove a tight result about the guaranteed existence of pure strategy Nash equilibria for elections with up to three parties for single-peaked and party-aligned single-peaked preference profiles.
Piotr Faliszewski, Stanislaw Kazmierowski, Grzegorz Lisowski, Ildikó Schlotter, Paolo Turrini
AAAI2
2025 Equilibria of the Colonel Blotto Games with Costs
abstract
This paper studies a generalized variant of the Colonel Blotto game, referred to as the Colonel Blotto game with costs. Unlike the classic Colonel Blotto game, which imposes the use-it-or-lose-it budget assumption, the Colonel Blotto game with costs captures the strategic importance of costs related both to obtaining resources and assigning them across battlefields. We show that every instance of the Colonel Blotto game with costs is strategically equivalent to an instance of the zero-sum Colonel Blotto game with one additional battlefield. This enables the computation of Nash equilibria of the Colonel Blotto game with costs in polynomial time with respect to the game parameters: the number of battlefields plus the number of resources available to the players.
Stanislaw Kazmierowski
AAAI1
2023 Computation of Nash Equilibria of Attack and Defense Games on Networks
Stanislaw Kazmierowski, Marcin Dziubinski
SAGT1