A research-grade exploration of the Tokenomics Ecological Framework, analyzing how tokens behave as predator, prey, parasite, and symbiotic species. Examines ecosystem interactions, evolutionary pressures, species population cycles, and the dynamics of economic predation, mutation, drift, and long-term survival across market cycles.

A collection of essays exploring how meaning emerges through human and artificial intelligence interaction. Originally published at Thread Counts. Xule Lin, Kevin Corley, & AI Collaborators (mostly Claude).

A deep research study introducing the concept of Economic DNA Repair for smart contracts, designing self-correcting tokenomics that detect anomalies, repair unstable parameters, rebalance incentives, and restore economic equilibrium. Explores adaptive rewards, automated governance, liquidity healing, and resilience in decentralized systems.

A scientific exploration of Metabolic Tokenomics, the framework that models token economies as living metabolic systems. Examines how tokens burn, store, and circulate energy like biological cells, mapping catabolism, anabolism, liquidity flow, yield dynamics, and system health to design resilient, adaptive on-chain ecosystems.

This repository contains my research and agent based model for discovering the phenomenon of collision and bursting of bubbles

A research study on the adoption of blockchain for IoT devices in supply chains, published in Computational Intelligence and Neuroscience (2022). This study explores the integration of blockchain and IoT, proposing a modified RAFT consensus protocol (mRAFT) to enhance scalability and efficiency in Hyperledger based supply chain environments.