Distributed Representations

Distributed representations are a way of representing information, like words or concepts, across many interconnected parts rather than in a single spot. Think of it like a team where each member has a role, and together they convey meaning. In this approach, each piece of information is stored as a pattern of activity across multiple elements, allowing the system to recognize similarities and relationships more effectively. This method is used in artificial intelligence to help computers understand language and data more naturally, mimicking how human brains process complex information through distributed networks.