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 7 of 7 for “"Learning in Games"”.
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Distributed learning in games under bounded rationality
In multi-agent systems, bounded rationality arises both from the agents’ cognitive and informational limitations and from the uncertainty of the environments in which they interact. This dissertation considers models, solution concepts, and learning dynamics that explicitly embrace bounded …
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Theoretical Foundations for Learning in Games and Dynamic Environments
Decision-making problems lie at the heart of numerous aspects of human and algorithmic behavior across our society, ranging from healthcare systems to financial systems to interactions with the physical world. A central challenge that arises across many decision-making problems is the presence of …
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Evaluating social and cognitive effects of video games using electroencephalography.
Games User Research (GUR) is an area of evaluative player research and human-computer interaction (HCI) that aims to improve games, focused on a player’s understanding and on their experience when playing games. In this field, techniques are available to measure and understand user experience. …
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DNA binding economies
This thesis develops a new scalable modeling framework at the interface of game theory and machine learning to recover economic structures from limited slices of data. Inference using economic models has broad applicability in machine learning. Economic structures underlie a surprisingly broad …
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Higher-order learning in finite games
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-08-01
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Dynamics and Phenomena in Stateful Multi-Agent Systems
An important goal at the intersection of theoretical computer science and economics is to understand the long-run outcomes of complex processes in multi-agent systems. In many cases, such social systems are inherently algorithmic and strategic; in others, agents may act in simpler behavioral ways …
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Game-theoretic methods for security and resilience in cyber-physical systems
Modern critical infrastructures are highly integrated systems composed of many complex interactions between different system modules or agents including cyber and physical components as well as human factors. Their growing complexity demands novel design techniques for scalable and efficient …