Meaning has been called the "holy grail" of a variety of scientific
disciplines, ranging from linguistics to philosophy, psychology and the
neurosciences. The field of Artifical Intelligence (AI) is very much a part of
that list: the development of sophisticated natural language semantics is a
sine qua non for achieving a level of intelligence comparable to humans.
Embodiment theories in cognitive science hold that human semantic
representation depends on sensori-motor experience; the abundant evidence that
human meaning representation is grounded in the perception of physical reality
leads to the conclusion that meaning must depend on a fusion of multiple
(perceptual) modalities. Despite this, AI research in general, and its
subdisciplines such as computational linguistics and computer vision in
particular, have focused primarily on tasks that involve a single modality.
Here, we propose virtual embodiment as an alternative, long-term strategy for
AI research that is multi-modal in nature and that allows for the kind of
scalability required to develop the field coherently and incrementally, in an
ethically responsible fashion.

该论文提出了一种名为虚拟体验（virtual embodiment）的多模式 AI 策略，它允许开发人工智能的可伸缩性，并以一种伦理负责的方式在领域内逐步推进。