Monday, April 18, 2022 [ 8 AM – 12 PM ]
Devconnect – Amsterdam
Workshop on Incentive Mechanism Validation
An in-person Workshop Dedicated to The Practical Application of Optimization, Control Theory, and Reinforcement Learning for The Development and Validation of Ethereum Protocols.
Sponsorship of WIMV 2022 is generously provided by
Mechanism design is a branch of economics focused on creating incentives to encourage the adoption of behavior such that higher-level goals are achieved. Mechanism designers begin by applying reverse game theory to construct mathematical descriptions of incentives, actors, and game mechanics. How can a proposed mechanism be validated? In a simulation, agents modeled on heuristics or control theory can interact with a mechanism and provide first-order checks. Further, given sufficient compute resources, reinforcement learning can be used to obtain performant or adversarial agents that provide robust experimental validation.
This workshop will consist of short talks and tutorials focused on the roles of and interplay between optimization, control theory, and reinforcement learning in the mechanism design life cycle. Presenters are encouraged to share how they have used optimization, control theory, reinforcement learning, and related techniques to build or analyze real-world cryptoeconomic systems. Regardless of prior background, we want attendees to leave with intuition regarding which tools and approaches work well and in what situations. We also seek to identify open problems in Ethereum where the above-mentioned techniques can be applied.
We invite submissions for 15 to 30-minute talks on a broad range of topics, including but not limited to:
- Using control theory to regulate economic systems
- Modeling the mempool
- Applying optimization to support or automate economic decision-making
- Designing simulation environments for mechanism development or testing
- Approaches to and limitations of data-driven agent modeling
- Using autonomous agents for vulnerability analysis
- Establishing trust and explainability in automated decision-making
- Exploring the limitations of mixing humans and autonomous agents in economic systems
- Open problems and calls for proposals
Speaking applications are closed for this year. Please email email@example.com, if you are interested in speaking at or assisting with our next workshop!
WIMV 2022 - Amsterdam
An in-person workshop dedicated to the practical application of optimization, control theory, and reinforcement learning for the development and validation of Ethereum protocols.
Co-Founder and Director of Engineering
Co-Founder and Research & Product Lead
Edge & Node
Edge & Node
Senior Research Scientist
Robust Incentives Group Ethereum Foundation
Protocol Labs Research
Protocol Labs Research
Co-Founder and Head of Research
8:00 – 8:20
8:20 – 8:30
Sam Green, Semiotic AI, Opening remarks
8:30 – 8:50
Howard Heaton, Edge & Node, Explainable Models for Handling Constraints
8:50 – 9:10
Anirudh Patel, Semiotic AI, Simplifying Mechanism Analysis With Software Design
9:10 – 9:40
Brandon Ramirez, Edge & Node, The Mechanism Design Life Cycle
9:40 – 10:10
ZX Zhang, Protocol Labs Research, Engineering Novel Economies and Charting New Frontiers in Web3
10:10 – 10:40
10:40 – 11:10
Barnabé Monnot, Ethereum Foundation, Robust Incentives Testing at the Robust Incentives Group: Consensus and Fee Markets
11:10 – 11:30
Tom Mellan, Protocol Labs Research, A Fair Price for a Perpetual Utility
11:30 – 12:00
Yondon Fu, Livepeer, Routing and Selection in Decentralized Work Protocols
Relax & Enjoy!
We will have high-speed Wi-Fi and great refreshments between sessions.
Hôtel Mövenpick in the Matterhorn 2 conference room. Piet Heinkade 11, 1019 BR Amsterdam, Netherlands
WIMV will be held at Hôtel Mövenpick,
on Monday, April 18, 2022, from 8 AM to 12 PM.
One More Thing!
Right after WIMV is our partner event – Building Web3 Infrastructure Protocols on Ethereum. We recommend sticking around for the afternoon for their workshop sessions on a number of relevant protocol design topics at the infrastructure layer. It’s at the same location.