Cooperation in multi-agent learning (MAL) is a topic at the intersection of numerous
disciplines, including game theory, economics, social sciences, and evolutionary biology …

Games have been the perfect test-beds for artificial intelligence research for the
characteristics that widely exist in real-world scenarios. Learning and optimisation, decision …

An agent trained within a closed system can master any desired capability, as long as the
following three conditions hold:(a) it receives sufficiently informative and aligned …

Diplomacy is one of the most sophisticated activities in human society, involving complex
interactions among multiple parties that require skills in social reasoning, negotiation, and …

This study proposes an innovative model (ie, SensoryT5), which integrates sensory
knowledge into the T5 (Text-to-Text Transfer Transformer) framework for emotion …

For our fifth anniversary, we reconnected with authors of recent Comments and Perspectives
in Nature Machine Intelligence and asked them how the topic they wrote about developed …

What is appropriateness? Humans navigate a multi-scale mosaic of interlocking notions of
what is appropriate for different situations. We act one way with our friends, another with our …

The integration of visual simulation and biorehabilitation devices promises great
applications for sustainable electronics, on‐demand integration and neuroscience …

Although large language models (LLMs) and other artificial intelligence systems
demonstrate cognitive skills similar to humans, such as concept learning and language …

Since the introduction of ChatGPT, the leading example of Generative Artificial Intelligence
(GenAI), the research community and the general public have been captivated by GenAI's …