SocioTechnical Systems | Michael Zargham, BlockScience

Token Engineering relies heavily on the principles of optimization as they apply across game theory, artificial intelligence and evolutionary algorithms. Most of the focus placed on the objective which encode the goals of a system but a complete characterization of an optimization paradigm also include constraints which encode feasible states of the system. While constraining an optimization problem may seem counter-intuitive it is a well known property that an optimization objective will drive a system to sacrifice any other property in exchange for gains in the objective. In complex systems this can lead to cannibalizing critical structure, arbitrage of externalities or other adverse effects which ultimately result in late stage effects undermine the health of the eco-system despite early success.This talk introduces the framework for encoding constraints and using them to ensure system safety requirements as part of a token design and validation process.

Michael is the CEO and Founder of BlockScience.

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