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Gaming the market: Research provides insights for board game industry

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In Short: A new study explores how varying rewards and strategies in games can help understand human behavior, expanding the dynamics found in classic games like the prisoner’s dilemma.

Researchers are using mathematical models to study games with evolving strategies and randomly varying returns, providing new insights into human decision-making. This approach, which includes varying rewards for cooperation and defection, can be applied to a range of games, from classic ones like the prisoner’s dilemma to more complex scenarios.

‘Simple games gain rich strategies in the face of noise,’ said a researcher, highlighting how these models can help understand why people make certain choices. The study also notes that traditional games are usually played against a static background, but the new models include evolving strategies and randomly varying returns.

The research team at the Department of Energy’s Lawrence Berkeley National Laboratory has demonstrated a powerful AI modeling approach that accurately and rapidly predicts how reactions between solid materials unfold over time. This can help accelerate the advancement of materials to cost-effective manufacturing and commercialization.

‘Our new model enables material scientists and industry stakeholders to make promising new materials dramatically faster — and with higher purity and yield,’ said Kristin Persson, one of the study’s authors. The model can help close the gap between material discovery and new technologies that benefit society, as detailed in the Nature Materials publication.

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