Turing-complete transactions of agents in blockchain systems
Glossary
Term definitionsTuring completeness refers to the ability of a computing system or language to perform any computational task that a Turing machine can perform. In other words, if a system is Turing complete, it can perform any operation that can be algorithmized. BlockchainA distributed database that records transaction information in the form of a linked list and uses cryptography to ensure data security and immutability. In blockchain systems, transactions refer to records of value transfers. For example, Bitcoin transactions record the transfer of Bitcoin from one address to another. Agents in blockchain refer to independent computing units responsible for performing specific tasks. For example, agents can be responsible for monitoring the state of the blockchain or performing computational tasks. Metadata is used to describe data. In blockchain, metadata is used to store information related to loop execution, such as loop indexes and parameter values. HashAn algorithm that converts data of arbitrary length into a fixed-length string. Hash values can be used to verify the integrity of data. MultisigA mechanism that requires multiple private keys to authorize transactions. P2SH (Pay-to-Script-Hash) A type of Bitcoin transaction that allows Bitcoin to be sent to the hash of a script rather than a specific Bitcoin address. IOTA (Internet of Things) The Internet of Things refers to a network of physical devices that connect and exchange data over the Internet.
Short Answer Questions
What is the main problem being solved?
It aims to solve the problem of achieving Turing completeness on functionally limited blockchain platforms. The scripting languages used by these platforms (such as Bitcoin) do not support complex control structures such as loops, limiting their scope of application.
How to achieve Turing completeness?
Turing completeness is achieved by using the blockchain as an infinite storage band for the Turing machine and using an independent computing resource (agent) as a control unit to simulate the Turing machine. The agent is responsible for managing and executing complex control structures such as loops, and interacting with the blockchain to record and read data.
What role does the agent play in the system?
The agent is a core component in the system, responsible for monitoring the blockchain state, receiving external inputs, executing loops, and triggering corresponding actions. The agent acts as a control unit of the Turing machine, performing computing tasks according to preset conditions and rules.
How to ensure the security of loop execution?
Security is ensured by storing loop-related metadata in blockchain transactions. Since blockchain data cannot be tampered with, malicious attackers can be prevented from tampering with the loop execution process.
What is the role of the "If Condition Then Action" (ICTA) code block?
The ICTA code block is the core logic unit of the agent execution loop. It determines whether to perform the corresponding action, such as sending a transaction, triggering an external event, etc., based on the preset conditions.
How is metadata used in the system?
Metadata is stored in blockchain transactions and is used to record the current state and parameter information of the loop execution. The agent resumes the loop execution by reading the metadata and performs the corresponding action based on the information in the metadata.
How to update the agent's code?
Use multi-signature P2SH transactions to safely update the agent code. The hash values of the new and old codes are recorded on the blockchain to ensure that the update process is traceable and secure.
How to apply to online voting systems?
It can be used to build an automated online voting system. The agent can be responsible for distributing voting tokens, counting voting results, and triggering corresponding actions based on preset conditions, such as paying prizes to winners.
What are the advantages over existing technologies?
The main advantage of is that it can achieve Turing completeness without changing the existing blockchain protocol, and can use the security of the blockchain to ensure the reliability of loop execution.
What are the future development directions of?
It can be further extended to other fields that require automated execution of complex tasks, such as supply chain management, IoT device control, etc.
Paper title
Analyze how to solve the problem of lack of Turing completeness in existing blockchain systems, and discuss its impact on future blockchain application development.
Explore the design and implementation details of the proxy, and analyze the impact of different types of proxy architectures on system performance and security.
Evaluate the application in online voting systems, compare with traditional centralized voting systems, and analyze its advantages and disadvantages.
Study the application in IoT device control, and analyze its advantages and challenges in security, reliability, and scalability.
Explore how to combine with other emerging technologies (such as artificial intelligence, big data analysis) to build smarter and safer automation systems