Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 19 of 19 for “"Stochastic Game"”.
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Unifying Strategic Military Force Design and Operational Warfighting: A Stochastic Game Approach
… a framework to unify these levels through stochastic games and a force design model. We start with the operational level, where we exploit the structure of military games to construct a tractable representation of the large-scale problem. We develop the campaign stochastic game (CSG), a …
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Threat Assessment for Multistage Cyber Attacks in Smart Grid Communication Networks
… This thesis investigates an application-oriented stochastic game-theoretic cyber threat assessment framework, which is strongly related to the information security risk management process as standardized in ISO/IEC 27005. The proposed cyber threat assessment framework seeks to address the specific …
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Some problems in discounted stochastic games
… three problems in the theory of iscounted stochastic games, all motivated by the effects of time-dependent dis-counting. First, it investigates the Nash equilibrium of finite stochastic games with generalised discounting. By employing the framework of gener-alised continuous games, it is …
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Cooperate to compete : composable planning and inference in multi-agent reinforcement learning
… in two environments: a complex continuous Atari game Warlords and a grid-world stochastic game, and compare our model with human behavior.
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Statistical Analysis of Wireless Communication Systems Using Hidden Markov Models
… as it has been performed in a new environment. Stochastic game theory is analyzed to gain insight into the decision-making process of HMMs. Study of game theory is significant because it analyzes rational decisions in detail by attaching risk and reward to every possibility. Network security …
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Risk-aware navigation for UAV digital data collection
… UAV, for which we resort to the Data-collection Game (DCG) model. DCG is a grid-based two-player stochastic game where the opponent may have different strategies. We propose opponent modeling to improve data-collection efficiency, design four deep neural networks that model the opponent's …
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Bitcoin Protocol Analysis: Game Theory and Protocol Integrity
… is the construction of an unbounded-horizon stochastic game that embeds the full mechanical structure of proof-of-work—hashing, block construction, fee formation, difficulty retargeting, propagation conditions, and validation constraints—into a coherent optimisation environment in which …
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Game theory with learning for cyber security monitoring
… false positive rates. While machine learning and game theoretic models have been applied for intrusion detection, machine learning techniques lack the ability to model the rationality of the players, while the game theoretic approaches rely on the strict assumption of full rationality and complete …
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Game theoretic methods for networked sensors and dynamic spectrum access
… goals. This thesis investigates the use of game theory as a tool for design and analysis of networked systems of automated devices in the areas of naval defence, wireless environmental monitoring through sensor networks, and cognitive radio wireless communications. In the first part, …
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Algorithms for Simple Stochastic Games
A simple stochastic game (SSG) is a game defined on a directed multigraph and played between players MAX and MIN. Both players have control over disjoint subsets of vertices: player MAX controls a subset VMAX and player MIN controls a subset VMIN of vertices. The remaining vertices fall into either …
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Scaling Cooperative Intelligence via Inverse Planning and Probabilistic Programming
… societal behavior as a norm-augmented stochastic game (NSG). In NSGs, agents assume that society follows a shared set of social norms, and infer these norms from the actions of other agents. By doing so, agents can rapidly learn cooperative social norms using orders of magnitude less …
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Modeling Multi-level Incentives in Health Care: A Multiscale Decision Theory Approach
… formulated as a sequential non-cooperative game. We derive the equilibrium solutions using the subgame perfect Nash equilibrium (SPNE) concept and the backward induction principle, and determine the conditions under which the MSSP incentive leads to the desired outcomes of cost reduction and …
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Analytics for online markets
… networks. We model a scrip system as a stochastic game and study system design issues on selection rules to match trade partners over time. We show the optimality of one particular rule in terms of maximizing social welfare for a given scrip system that guarantees players' incentives to …
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Analysis and design of blockchain systems
… analysis frames mining as a dynamic mean-field game, identifying equilibrium strategies which guarantee that an attacker cannot profit from a double-spend attack. The third contribution presents a formal computational framework for understanding miner behavior in PoW systems, with a specific …
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Game-theoretic methods for security and resilience in cyber-physical systems
… and resilience. This dissertation develops new game-theoretic frameworks for addressing security and resilience problems residing at multiple layers of the cyber-physical systems including robust and resilient control, secure network routing and management of information security and smart grid …
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Distributed multi-agent learning under federated and competitive settings
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Nash equilibrium problems in power markets and product design: Analysis and algorithms
… in noncooperative Cournot and Bertrand games. The application of focus for Cournot competition is power markets while that for Bertrand competition is product design. We consider Cournot-based models for strategic behavior in power markets while Bertrandbased models are employed for …
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Game theoretic analysis and design for network security
… approaches based on decision theory and game theory for network security. We first examine decentralized detection problems with a finite number of sensors making conditionally correlated measurements regarding several hypotheses. Each sensor sends to a fusion center an integer from a …
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Risk-averse multi-armed bandits and game theory
The multi-armed bandit (MAB) and game theory literature is mainly focused on the expected cumulative reward and the expected payoffs in a game, respectively. In contrast, the rewards and the payoffs are often random variables whose expected values only capture a vague idea of the overall …