For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

There is a growing interest in applying pre-trained large language models (LLMs) to
planning problems. However, methods that use LLMs directly as planners are currently …

Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …

What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …

Abstract Language behaviour is complex, but neuroscientific evidence disentangles it into
distinct components supported by dedicated brain areas or networks. In this Review, we …

Do large language models (LLMs) constitute a computational account of how humans
process language? And if so, what is the role of (psycho) linguistic theory in understanding …

Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …

There has been a significant research interest in employing large language models to
empower intelligent robots with complex reasoning. Existing work focuses on harnessing …

The ability to derive underlying principles from a handful of observations and then
generalize to novel situations--known as inductive reasoning--is central to human …