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Predictive crypto-asset automated market maker architecture for decentralized finance using deep reinforcement learning
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作者 Tristan Lim 《Financial Innovation》 2024年第1期323-351,共29页
This study proposes a quote-driven predictive automated market maker(AMM)platform with on-chain custody and settlement functions,alongside off-chain predictive reinforcement learning capabilities,to improve the liquid... This study proposes a quote-driven predictive automated market maker(AMM)platform with on-chain custody and settlement functions,alongside off-chain predictive reinforcement learning capabilities,to improve the liquidity provision of real-world AMMs.The proposed architecture augments Uniswap V3,a cryptocurrency AMM protocol,by using a novel market equilibrium pricing to reduce divergence and slippage losses.Furthermore,the proposed architecture involves a predictive AMM capability,for which a deep hybrid long short-term memory(LSTM)and Q-learning reinforcement learning framework is used.It seeks to improve market efficiency through obtaining more accurate forecasts of liquidity concentration ranges,where liquidity starts moving to expected concentration ranges prior to asset price movement;thus,liquidity utilization is improved.The augmented protocol framework is expected to have practical real-world implications through(1)reducing divergence loss for liquidity providers;(2)reducing slippage for crypto-asset traders;and(3)improving capital efficiency for liquidity provision for the AMM protocol.The proposed architecture is empirically benchmarked against the well-established Uniswap V3 AMM architecture.The preliminary findings indicate that the novel AMM framework offers enhanced capital efficiency,reduced divergence loss,and diminished slippage,which could potentially address several of the challenges inherent to AMMs. 展开更多
关键词 Predictive automated market maker architecture Decentralized finance Deep reinforcement learning Divergence(or impermanent loss)and slippage losses Capital effciency Liquidity utilization concentration and depth
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The Buddha's silence:metaphysical agnosticism as the middle way on Karma
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作者 Shangran Michelle Liu 《Advances in Humanities Research》 2025年第8期93-98,共6页
This essay examines the apparent tension within Buddhist doctrine between the metaphysical principle of radical impermanence and the ethical doctrine of karma,which seems to require temporal continuity.It explores how... This essay examines the apparent tension within Buddhist doctrine between the metaphysical principle of radical impermanence and the ethical doctrine of karma,which seems to require temporal continuity.It explores how major Buddhist metaphysical systems—Theravādin presentism,Sarvāstivādin eternalism,and Yogācāra idealism—attempt to resolve this tension.The analysis finds that each theory faces significant drawbacks:presentism struggles to account for delayed karmic effects,eternalism contradicts impermanence,and idealism requires a substantial metaphysical commitment.The essay argues that metaphysical agnosticism,which refrains from definitive claims about the ultimate nature of time while affirming the conventional truth and moral efficacy of karma,presents the most balanced and pragmatically fruitful approach.This stance aligns with the Buddha's historical reluctance to engage in speculative metaphysics and his focus on the soteriological goal of ending suffering,thereby preserving karma's role as an ethical compass without violating the core teaching of impermanence. 展开更多
关键词 KARMA time impermanence agnosticism Buddhist metaphysics ethics
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