Evidential Cooperation in Large Worlds

Evidential Cooperation in Large worlds (ECL) refers to the idea that, since the universe may be very large, it likely contains many agents very similar to oneself, and that by taking actions that are good for these agents, we learn that they take actions that are good for us. The idea of ECL was introduced in [Oesterheld, 2017](https://longtermrisk.org/files/Multiverse-wide-Cooperation-via-Correlated-Decision-Making.pdf)Oesterheld, 2017 as MSR (Multiverse-wide superationality).

Evidential Cooperation in Large worlds (ECL) refers to the idea that, since the universe may be very large, it likely contains many agents very similar to oneself, and that by taking actions that are good for these agents, we learn that they take actions that are good for us. The idea of ECL was introduced in [Oesterheld, 2017](https://longtermrisk.org/files/Multiverse-wide-Cooperation-via-Correlated-Decision-Making.pdf) as MSR (Multiverse-wide superationality).

### Further Reading

Caspar Oesterheld (2017): [*Multiverse-wide Cooperation via Correlated Decision Making*](https://longtermrisk.org/multiverse-wide-cooperation-via-correlated-decision-making/)

Caspar Oesterheld (2017): [*Multiverse wide Cooperation via Correlated Decision Making*](https://www.youtube.com/watch?v=VbAkqvHjlXo). Talk at EA Global London.

Johannes Treutlein (2023): [*Modeling Evidential Cooperation in Large Worlds*](https://arxiv.org/pdf/2307.04879.pdf)

Lukas Finnveden (2023): [*ECL with AI*](https://lukasfinnveden.substack.com/p/ecl-with-ai)

Created by Emery Cooper at