> For the complete documentation index, see [llms.txt](https://chain-dimension.gitbook.io/dimensionchain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://chain-dimension.gitbook.io/dimensionchain/about-dimensionchain/core-technologies/ai-artificial-intelligence-technology.md). # AI artificial intelligence technology AI artificial intelligence is a new technical science that studies and develops theories, methods, techniques and applied systems for simulating, extending and expanding human intelligence. It attempts to understand the essence of intelligence and to produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing, and expert systems. Artificial intelligence allows the simulation of human consciousness, the information process of thinking. The DimensionChain is not a human intelligence, but it can think like a human and may exceed the human intelligence, and by adding AI artificial intelligence technology to realize the intelligent connection between the chain and the off-chain, it will be able to extend the application scenarios such as meta-universe. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://chain-dimension.gitbook.io/dimensionchain/about-dimensionchain/core-technologies/ai-artificial-intelligence-technology.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.