🧠 Compute Power Acquisition & Intelligent Computing Mechanism
In Owlverse, computational power is not used for block consensus or traditional mining. Instead, it fuels advanced intelligent tasks such as multi-dimensional on-chain data crawling, unstructured sentiment detection, transaction behavior modeling, and AI oracle computation.
We define this system as DICP (Distributed Intelligence Compute Pipeline).
1. Multi-Source Crawling System
All raw signals are unified into standardized event units:

2. Task Dispatching Model
Each Owl node periodically pulls task bundles T_k
. Each task’s computing load is quantified by a resource vector:

Tasks are matched to nodes via a cosine similarity function:

Where:
A⃗ᵢ
is the available resource vector of node iThe assignment maximizes compatibility between resource demand and node capacity
3. Sentiment Scoring Engine
Owlverse nodes build a real-time sentiment field by combining on-chain trading flows and multilingual social signals. Sentiment over time is modeled using a weighted exponential moving function:

Where:
Eᵢ ∈ [-1, 1]
is the sentiment score of time windowi
α ∈ (0,1)
is the decay factorEᵢ = (Posᵢ - Negᵢ) / (Posᵢ + Negᵢ + ε)
comes from LLM-based entity recognition and emotion classification
4. Token Flow Fingerprinting
Each token is assigned a behavioral fingerprint vector based on multi-dimensional modeling:

Where:
μ_T
andσ_T
= average and deviation of transaction flowW_graph
= weighted graph features from wallet interaction mapNLP_trend
= trend signal from text analysisκ_volatility
= token price fluctuation metric
Each dimension is independently calculated by Owl nodes and committed on-chain.
5. Quality-Weighted Credit System
After task submission, each result is verified via asynchronous ZK proofs and cross-node audits:

Where:
Qᵢ
determines the credit-weighted rewardPoor-performing nodes are demoted or removed from scheduling pools
🌌 Summary
Owlverse reimagines on-chain compute as a decentralized high-performance intelligent data processor, leveraging AI to power real-time sentiment awareness, behavior modeling, market insight, and strategy triggering.
This system forms the computational backbone of the AI Strategy Engine, unlocking new dimensions of value in Web3 analytics.
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