Evolution is the fundamental physical process that gives rise to biological phenomena. Yet it
is widely treated as a subset of population genetics, and thus its scope is artificially limited …

We use a notion of causal independence based on intervention, which is a fundamental
concept of the theory of causal networks, to define a measure for the strength of a causal …

Adaptive wear-resistant coatings produced by physical vapor deposition (PVD) are a
relatively new generation of coatings which are attracting attention in the development of …

Exploration-exploitation is a powerful and practical tool in multi-agent learning (MAL);
however, its effects are far from understood. To make progress in this direction, we study a …

The interplay between exploration and exploitation in competitive multi-agent learning is still
far from being well understood. Motivated by this, we study smooth Q-learning, a prototypical …

We consider the dynamics of Q learning in two-player two-action games with a Boltzmann
exploration mechanism. For any nonzero exploration rate the dynamics is dissipative, which …

As a schematic model of the complexity economic agents are confronted with, we introduce
the “Sherrington-Kirkpatrick game,” a discrete time binary choice model inspired from mean …

近年来, 人工智能(Artificial intelligence, AI) 技术在棋牌游戏, 计算机视觉,
自然语言处理和蛋白质结构解析与预测等研究领域取得了众多突破性进展, 传统学科之间的固有 …

We study adaptive learning in a typical p-player game. The payoffs of the games are
randomly generated and then held fixed. The strategies of the players evolve through time …

We study the emergence of chaotic behavior of Follow-the-Regularized Leader (FoReL)
dynamics in games. We focus on the effects of increasing the population size or the scale of …