15 citations · 19 across the 7 of their papers we have counts for
8 papers
Reasoning Capabilities of Large Language Models. Lessons Learned from General Game Playing
Maciej Świechowski, Adam Żychowski, Jacek Mańdziuk
This paper examines the reasoning capabilities of Large Language Models (LLMs) from a novel perspective, focusing on their ability to operate within formally specified, rule-govern…
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island Coevolution
Adam Żychowski, Andrew Perrault, Jacek Mańdziuk
Decision trees are widely used in machine learning due to their simplicity and interpretability, but they often lack robustness to adversarial attacks and data perturbations. The p…
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret
Adam Żychowski, Andrew Perrault, Jacek Mańdziuk
In recent years, there has been growing interest in developing robust machine learning (ML) models that can withstand adversarial attacks, including one of the most widely adopted,…
Evolutionary Approach to Security Games with Signaling
Adam Żychowski, Jacek Mańdziuk, Elizabeth Bondi +3
Green Security Games have become a popular way to model scenarios involving the protection of natural resources, such as wildlife. Sensors (e.g. drones equipped with cameras) have…
Learning Attacker's Bounded Rationality Model in Security Games
Adam Żychowski, Jacek Mańdziuk
The paper proposes a novel neuroevolutionary method (NESG) for calculating leader's payoff in Stackelberg Security Games. The heart of NESG is strategy evaluation neural network (S…
Anchoring Theory in Sequential Stackelberg Games
Jan Karwowski, Jacek Mańdziuk, Adam Żychowski
An underlying assumption of Stackelberg Games (SGs) is perfect rationality of the players. However, in real-life situations (which are often modeled by SGs) the followers (terroris…
A Generic Metaheuristic Approach to Sequential Security Games
Adam Żychowski, Jacek Mańdziuk
The paper introduces a generic approach to solving Sequential Security Games (SGs) which utilizes Evolutionary Algorithms. Formulation of the method (named EASG) is general and lar…
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution
Adam Żychowski, Abhishek Gupta, Jacek Mańdziuk +1
This paper presents algorithmic and empirical contributions demonstrating that the convergence characteristics of a co-evolutionary approach to tackle Multi-Objective Games (MOGs)…