This paper explores the potential of building scalable techniques to facilitate autonomous cooperation among communicative agents, and provides insight into their "cognitive" processes. To address the challenges of achieving autonomous cooperation, we propose a novel communicative agent framework named roleplaying .

In this work, we examine this fundamental aspect of gradual stacking, going beyond its efficiency benefits.

Adversarial attacks have the potential to mislead deep neural network classifiers by introducing slight perturbations.