Explore the intersection of cryptoeconomics and complex systems in this 56-minute seminar from the Santa Fe Institute. Delve into the design of blockchain-based incentive structures using advanced mathematical concepts such as agent-based modeling, multi-agent genetic algorithms, and game theory. Examine how complexity science applies to non-linear markets with high kurtosis in crypto-economic systems. Witness a live demonstration of a multi-agent simulation of a decentralized autonomous organization (DAO) based on the Ising model from statistical mechanics. Gain insights into the challenges and potential of engineering crypto-economies through the lens of complex systems theory.
Overview
Syllabus
Intro
Overview
About Me
The way we organize ourselves
Agenda
What is a blockchain
Why are crypto systems similar to complex systems
Crypto systems are chaotic
Trust
Design Process
Mechanism Design
Simulation Approaches
Live Demo
Limitations
Hybrid Approach
Graph Theory
Research Questions
Game Warping
Artificial Economies
Cognitive Hierarchies
Simulation Sandbox
Conclusion
Taught by
Santa Fe Institute
