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@article{197385,
        author = {Vijay Pal and Naresh Gupta and Nitanshu Kumar Madwa and Rohit Kumar and Shivam Lodhi Rajput},
        title = {Self-Evolving Blockchain Governance: A Smart Contract Framework for Autonomous Rule Adaptation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7126-7131},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197385},
        abstract = {Decentralized Autonomous Organizations (DAOs) have revolutionized organizational structures by replacing centralized hierarchical control with distributed consensus. However, as these networks scale, governance latency has emerged as a critical operational bottleneck.
Current blockchain governance models experience significant latency; they rely heavily on human-in-the-loop voting mechanisms to execute protocol upgrades or parameter shifts. When network conditions shift rapidly—such as during extreme congestion or liquidity drains—waiting days or weeks for a decentralized community to achieve quorum and execute a vote can be highly detrimental to the protocol.
To resolve this executive bottleneck, this paper proposes a novel framework for Self-Evolving Blockchain Governance, integrating the principles of autonomic computing directly into the smart contract architecture. By defining governance parameters as dynamic state variables rather than static rulesets, the proposed framework allows a blockchain network to monitor its own state, evaluate environmental conditions, and autonomously adapt its rules without requiring continuous human voting. This autonomous adaptation is structurally executed through three distinct operational modules running concurrently within the execution environment: The Monitor, The Evaluator, and The Executor.
Finally, this paper outlines the architectural logic required for such a system, evaluates the theoretical efficiency of autonomous execution, and discusses the inherent security risks of self- adapting code. Because the most prominent vulnerability in self-evaluating smart contracts is algorithmic manipulation, the framework also details mandatory defensive architectures, including strict parameter bounding and a multi-signature circuit breaker, to prevent irreversible state corruption.},
        keywords = {},
        month = {April},
        }