Token Engineering Labs

Cryptoeconomics is the interdisciplinary theoretic discipline which addresses the alignment of individual incentives with community goals over time in digital decentralized economic systems. Mechanisms dictate the rules of the game on the microscopic level, policies and incentives institutionalize behavioral patterns on the meso level and emergent system properties as well as desired system goals are manifestations of aggregations of individual actions on the macroscopic level.

Complex Systems Engineering is the methodological counterpart to Cryptoeconomics as it provides the appropriate toolkit for modeling, design, simulation, implementation and control of digital ecosystems. The engineering approach enables a full life cycle perspective with adequate focus on specification, maintenance and governance. Based on tailored research design and selected modeling and simulation techniques it equips system architects and stakeholders with the required information to be able to make sound and educated decisions.

Discovery phase

In the discovery phase we create diagrams, graphs, visuals, taxonomies, glossaries, collations of research questions, and system maps aiming at describing the main components of the system, and their interrelations. A principal part of this phase will be definition of business and technical requirements of the ecosystem.

Design phase

In the design phase we create mathematical specifications (generic or specific), state space representations, technical formalism documents, analytical proofs and derivations, mechanism design specifications and differential specifications of the system.

Deployment phase

In the deployment phase we write source code and model files of simulation program implementing the specifications above, results of verifications and validation tests, experiment definitions and setups, test-case definitions, simulation results, parameter selections and policy recommendations.