How to understand Bitcoin's human-computer interaction? Firstly, it is necessary to understand the two actors involved. Namely: -Human behavioral subject -Computer behavior subject Then we need to understand two worlds, namely: -The Value World of Electronic Currency with UTXO Structure -The World of Computer Agents with Miner Structure Then, how to interact between humans and computers to survive in the UTXO structured world of monetary value and the Miner's agent world. One: Analyze the electronic currency world of UTXO structure. Human behavioral entities use asymmetric encryption algorithms to map the monetary value of human behavior onto data structures on computer networks that can recognize transactions that have not been spent. On top of these core foundations, a one-to-one mapping was also made between human self-awareness and asymmetric encryption private keys. Thus completing the human-computer interaction in the currency world. Second: Analyzing the Computer Agent World of Miner Structure The computer agent execution part of Miner (i.e. mining machine+mining pool) includes hardware level computing entities and Bitcon code level running software parts. The computer agent competes fiercely to calculate nonce in order to obtain block rewards. The human behavioral subject of miners refers to the conscious feedback loop adjustment of the computer agent cost of miners and the reward for obtaining BTC. This is what is called Miner's human-computer interaction (computer agent execution part+conscious investment feedback loop of human behavioral subject) Thirdly: The world of Miner structured computer agents emerges as the strongest chain through uncertain Satoshi consensus competition, in order to maintain the security of the upper level UTXO structured electronic currency world. The Miner world is the foundation of the UTXO world. This is a complete Bitcoin human-machine interaction emerging natural value currency system operation model. The GEB project aims to expand the use of Satoshi Nakamoto's human-computer interaction skills to solve a large number of real-world problems on a large scale.