Agent-Based Blockchain Transactions for Turing-Complete Loop Execution
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Solution Overview
Problem
Existing blockchain technologies, such as Bitcoin, are limited by scripting languages that do not support complex control flow mechanisms like loops, restricting their functionality in automated tasks and processes.
Innovation Solution
A blockchain system combined with a parallel computing resource, referred to as a 'Manager', emulates Turing completeness by executing loops outside the typical blockchain script, using the blockchain as a non-erasable tape and the Manager as an instruction table to manage control flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain uses restricted scripting language without loops, then security is improved and infinite loops are prevented, but functionality for automated tasks and complex processes is limited
Solution Approach 1:
The system segments functionality by separating the restricted blockchain scripting layer from the Turing-complete agent-based execution layer. The blockchain handles secure transaction validation and state management, while external agents handle complex automated tasks requiring loops and conditional logic. This segmentation allows each layer to operate within its optimal capabilities without compromising security.
Solution Approach 2:
Agents act as intermediaries between the blockchain and external systems. These agents execute Turing-complete programs that can implement complex control flow mechanisms, loops, and automated decision-making, while interacting with the blockchain through well-defined interfaces. This intermediary layer enables enhanced functionality without requiring the blockchain core to be Turing-complete.
2Adaptability or versatility
If blockchain scripting language is extended to support loops and complex control flow, then Turing completeness is achieved, but risk of infinite loops and denial-of-service attacks increases
Solution Approach 1:
The patent extracts the Turing-complete execution capability from the blockchain core and places it in external agents. By taking out the loop execution functionality from the blockchain scripting language and implementing it in separate agent processes, the system achieves Turing completeness without exposing the blockchain to the security risks of infinite loops and denial-of-service attacks that would arise from embedding such capabilities directly in the blockchain.
3Loss of time
If simple linear scripting is used in blockchain, then execution time is predictable and security is maintained, but ability to perform automated tasks and complex processes is restricted
Solution Approach 1:
The system introduces dynamic execution models through agents that can adapt their behavior based on complex conditions and feedback loops. While blockchain transactions maintain predictable execution for security, agents dynamically adjust their operations based on real-time data, learned patterns, and complex decision-making requirements, enabling sophisticated automated tasks without compromising blockchain transaction predictability.
Data Source
AI summary
A blockchain to control a process executing on a computing resource is disclosed. In one example, the computing resource, running simultaneously and in parallel to the blockchain, manages a loop-based operation. The computing resource continuously monitors the state of the blockchain and any other off-blockchain input data or source. The execution of the loop is influenced by the state of the blockchain. Each iteration of the loop that is executed by the computing resource is recorded in a transaction that is written to the blockchain. It is stored as a hash within the transaction's metadata. If the computing resource finds a transaction which contains a hash relating to the loop it accesses the relevant portion of code. The loop contains a conditional statement which enables the computing resource to decide which action to take. The condition may be dependent upon the state of the blockchain or any other data source.