decodedDataJson: [{"name":"json","type":"string","signature":"string json","value":{"name":"json","type":"string","value":"{\"description\":\"## Project summary\\nThis project aims to implement parallelization and GPU acceleration features for the `monad-bayes`[1][2] Haskell library, a probabilistic programming library. \\n\\nThese extensions will result in faster performance and better optimization for all methods relying on Bayesian reasoning. In the context of the broader Ethereum ecosystem, this in particular means better performance for the growing corpus of protocols and research projects employing Compositional Game Theory, such as core research in MEV and PBS, financial incentive analysis of DeFi protocols and DAO governance.\\n\\n## Extended description\\n\\nThe last few years have seen a sharp rise in the employment of algorithmic mechanism design methods in the context of DeFi incentive alignment, MEV (Maximal Extractable Value), and PBS (Proposer-Builder Separation) research, with a steady inflow of new players in the crypto mechanism design space. \\n\\nIn particular, in the last years *Compositional Game Theory* has imposed itself as a reliable choice for fast prototypation and analysis of games and mechanisms.\\n\\n### Compositional Game Theory\\n\\nCompared to other approaches in algorithmic mechanism design, *Compositional Game Theory*[3] relies on a novel mathematical paradigm called *Compositionality*, which defines games as processes that can be composed out of the box in ways that preserve their semantics.\\n\\nWhat this means in practice is that Compositional Game Theory allows for much faster model prototyping as games an...\",\"imageURL\":\"\",\"title\":\"Parallelized Monte Carlo methods for algorithmic mechanism design\",\"links\":[{\"type\":\"website\",\"url\":\"https://github.com/CyberCat-Institute/open-game-engine\"},{\"type\":\"twitter\",\"url\":\"cybercatinst\"},{\"type\":\"github\",\"url\":\"https://github.com/CyberCat-Institute\"}],\"slug\":\"parallelized-monte-carlo-methods-for-algorithmic-mechanism-design\"}"}}]