AWhat changed
A shared learning-and-search recipe was demonstrated across three distinct board games.
Scientific scope
Exact 13-author 2018 Science paper and chess, shogi, Go evaluations; no domain-independent intelligence claim.
Evidence
The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact 2018 Science paper and its three-game evaluations. AlphaGo, AlphaGo Zero, later MuZero systems, domain-independent intelligence claims and performance outside the reported game settings remain separate.
Contributors
- The named authors listed in the linked research record · SCIENCE: Complete source byline retained in the research record; this collective display does not merge person identities or measure labor shares.
- Silver et al., A general reinforcement learning algorithm that masters chess, shogi and Go through self-play
- PubMed record for AlphaZero Science paper
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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