Sequential Stackelberg Games with bounded rationality

J Karwowski, J Mańdziuk, A Żychowski - Applied Soft Computing, 2023 - Elsevier
Abstract Stackelberg Games (SGs) assume the perfect rationality of players. However, in
real-life situations modeled by SGs, the followers may act not perfectly rationally, as their …

[HTML][HTML] Coevolution of players strategies in security games

A Żychowski, J Mańdziuk - Journal of Computational Science, 2023 - Elsevier
Abstract Stackelberg Security Games (SSGs) gained recently a lot of attention and popularity
due to a bunch of successful practical applications in the field of security maintenance. SSGs …

[HTML][HTML] Duel-based neuroevolutionary method for Stackelberg Security Games with boundedly rational Attacker

J Mańdziuk, A Żychowski - Applied Soft Computing, 2023 - Elsevier
This paper considers the problem of finding optimal strategies in Stackelberg Security
Games when playing against a non-perfectly rational Attacker. To this end, a novel Duel …

Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning

PA Kowalski, S Kucharczyk - arxiv preprint arxiv:2501.15661, 2025 - arxiv.org
This study investigates the potential of hybrid metaheuristic algorithms to enhance the
training of Probabilistic Neural Networks (PNNs) by leveraging the complementary strengths …

[PDF][PDF] Hall of Fame in Coevolutionary Algorithm for Stackelberg Security Games

JM AdamZychowski, A Perrault - 2024 - pages.mini.pw.edu.pl
Abstract Stackelberg Security Games is a popular game-theoretic model for strategic
interactions between a Defender and an Attacker. The computational challenges of …

[PDF][PDF] Optimized mutation operator in evolutionary approach to Stackelberg Security Games

A Zychowski, J Mandziuk - … A.(Ed.), Lipiński P.(Ed.)., Progress …, 2023 - pages.mini.pw.edu.pl
In this paper, we introduce several mutation modifications in Evolutionary Algorithm for
finding Strong Stackelberg Equilibrium in sequential Security Games. The mutation operator …