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Blockchain technology is firmly established in the public awareness as a revolutionary new technology underpinning cryptocurrency. However, its potential applications can be found across sectors and industries in providing a novel way of producing coordination necessary to transact online,...
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both firms employ the identical price-setting algorithm based on Q-learning. Thus, the question arises whether the … underlying assumption that both firms employ a Q-learning algorithm can be supported as an equilibrium in a game where firms can … chose between different pricing rules. Our simulations show that when both firms use a learning algorithm, the outcome is …
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, in theory, lead to a Correlated Equilibrium that can improve the overall payoffs of the agents. Here we explore whether …
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I study the path properties of adaptive heuristics that mimic the natural dynamics of play in a game and converge to the set of correlated equilibria. Despite their apparent differences, I show that these heuristics have an abstract representation as a sequence of probability distributions that...
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Pareto optima. Using a decentralized multi-agent deep reinforcement learning algorithm to model how competing market makers …
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This essay considers the role of reputational information in our marketplace. It explains how well-functioning marketplaces depend on the vibrant flow of accurate reputational information, and how misdirected regulation of reputational information could harm marketplace mechanisms. It then...
Persistent link: https://www.econbiz.de/10014044069
Scholars have long recognized the difficulties of communicating risk to the public. The rise of mobile gaming presents unprecedented opportunities for risk communicators to reach millions of potential users in engaging and potentially effective ways. Gamifying risk communication may help users...
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