Forcing an AI system to “play nice” does not automatically make people cooperate. In one set of simulations, it barely moved the needle.

The progress in AI over the past decade is beginning to suggest answers to some of our deepest questions about human intelligence. Below, Tom Griffiths shares five key insights from his new book, The ...

In a San Francisco convention hall that used to be packed with big booths from brands like Sony PlayStation and Epic Games, the 2025 Game Developers Conference had a decidedly different vibe: rows and ...

Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the University of California San Diego believe the answer is yes—and that such ...

Nash equilibria represent a cornerstone in game theory, defining strategy profiles wherein no player can benefit by unilaterally deviating. This concept underpins a myriad of applications, ranging ...

Stanford University is offering an online graduate course Artificial Intelligence: Principles and Techniques to provide students with complete knowledge of curr ...

Game theory applications have increasingly become central to understanding and enhancing security measures and effective resource allocation in complex, real-world scenarios. By framing strategic ...

Researchers from The University of Tokyo have found that single cells in collective chemotaxis act like agents in distributed reinforcement learning, utilizing the environment as an “external memory” ...