Research on Joint Game-Theoretic Modeling of Network Attack and Defense Under Incomplete Information [PDF]
EntropyIn the face of increasingly severe cybersecurity threats, incomplete information and environmental dynamics have become central challenges in network attack–defense scenarios. In real-world network environments, defenders often find it difficult to fully
Yifan Wang, Xiaojian Liu, Xuejun Yu
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Analysing public goods games using reinforcement learning: effect of increasing group size on cooperation [PDF]
Royal Society Open ScienceElectricity competition, restrictions on carbon dioxide (CO2) emissions and arm races between nations are examples of social dilemmas within human society.
Kazuhiro Tamura, Satoru Morita
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Multi-Agent Reinforcement Learning in Games: Research and Applications [PDF]
BiomimeticsBiological systems, ranging from ant colonies to neural ecosystems, exhibit remarkable self-organizing intelligence. Inspired by these phenomena, this study investigates how bio-inspired computing principles can bridge game-theoretic rationality and ...
Haiyang Li +5 more
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Incentivizing inclusive contributions in model sharing markets [PDF]
Nature CommunicationsData plays a crucial role in training contemporary AI models, but much of the available public data will be exhausted in a few years, directing the world’s attention toward the massive decentralized private data.
Enpei Zhang +4 more
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Deficiencies of the Prisoner’s Dilemma in Explaining the Emergence of Institutions: Introducing an Alternative [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2023 Over the past half-century, the impact of the prisoner’s dilemma has transcended its initial boundaries, influencing a broad spectrum of institutional studies and analyses of interdependent systems, such as collective action, public goods, governance of ...
Farshad Momeni, Reza Shohreh
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The Ordering Optimization Model for Bounded Rational Retailer with Inventory Transshipment
Mathematics, 2022 In order to study retailers’ ordering behavior deviating from the standard theoretical optimal decision, which is caused by retailers’ information asymmetry, cognitive ability, insufficient computing ability, and other factors, we construct a bounded ...
Qingren He +3 more
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Evolution of Financial Ecosystem from the CAS and EGT Perspective [PDF]
MATEC Web of Conferences, 2019 In recent years, there is a large amount of literature that studies the theory of business ecosystem, but there is rarely literature on the financial system which plays a critical role in the good running of the enterprise.
Zhang Shanshan, Bai Bing, Huang Aijia
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Hardness of Learning in Rich Environments and Some Consequences for Financial Markets
Machine Learning and Knowledge Extraction, 2021 This paper examines the computational feasibility of the standard model of learning in economic theory. It is shown that the information update technique at the heart of this model is impossible to compute in all but the simplest scenarios. Specifically,
Ayan Bhattacharya
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IEEE Access, 2021 When it comes to selecting an optimal defense strategy for an intrusion detection system of a wireless sensor network, such challenges as those brought about by the diversification of the attack methods and the expanded database of the attack patterns ...
Yongwen Du +3 more
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Deep Reinforcement Learning‐Based Air Defense Decision‐Making Using Potential Games
Advanced Intelligent Systems, 2023 This study addresses the challenge of intelligent decision‐making for command‐and‐control systems in air defense combat operations. Current autonomous decision‐making systems suffer from limited rationality and insufficient intelligence during operation ...
Minrui Zhao +4 more
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