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.