Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Żychowski, P"'
Autor:
Ren, Shangsi, Beeche, Cameron A., Shi, Zhiyi, Garcia, Maria Acevedo, Zychowski, Katherine, Leng, Shuguang, Roghanchi, Pedram, Pu, Jiantao
This study aims to establish the causal relationship network between various factors leading to workday loss in underground coal mines using a novel causal artificial intelligence (AI) method. The analysis utilizes data obtained from the National Ins
Externí odkaz:
http://arxiv.org/abs/2402.05940
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, efficient, and interpretable ML algorithms-decision trees (DTs). This
Externí odkaz:
http://arxiv.org/abs/2312.09078
Autor:
Żychowski, Adam, Mańdziuk, Jacek, Bondi, Elizabeth, Venugopal, Aravind, Tambe, Milind, Ravindran, Balaraman
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, 620-627
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 also begun to play a role in these scenarios by providing real-time in
Externí odkaz:
http://arxiv.org/abs/2204.14173
Autor:
Żychowski, Adam, Mańdziuk, Jacek
Publikováno v:
International Conference on Neural Information Processing, ICONIP 2021, CCIS 1516, 530-539
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 (SENN). SENN is able to effectively evaluate leader's strategies against
Externí odkaz:
http://arxiv.org/abs/2109.13036
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 (terrorists, thieves, poachers or smugglers) -- as humans in general -- may act
Externí odkaz:
http://arxiv.org/abs/1912.03564
Autor:
Żychowski, Adam, Mańdziuk, Jacek
Publikováno v:
International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020, 2089-2091, ISBN: 978-1-4503-7518-4
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 largely game-independent, which allows for its application to a wide rang
Externí odkaz:
http://arxiv.org/abs/1911.05706
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Publikováno v:
Knowledge-Based Systems, 2018, vol. 154, 17-31
This paper presents algorithmic and empirical contributions demonstrating that the convergence characteristics of a co-evolutionary approach to tackle Multi-Objective Games (MOGs) with postponed preference articulation can often be hampered due to th
Externí odkaz:
http://arxiv.org/abs/1711.06763