AlphaGo

Structured entry data for human tools, AI systems and machine clients.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00000257",
    "name": "AlphaGo",
    "alternateName": [],
    "additionalType": {
        "category": "AI Systems",
        "type": "Historical AI System",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "AlphaGo is Google DeepMind’s Go-playing system that defeated Lee Sedol in 2016, demonstrating the power of deep reinforcement learning and Monte Carlo tree search in a complex strategic game.",
    "creator": "Google DeepMind",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000257&lang=en",
    "sameAs": "https://deepmind.google/research/breakthroughs/alphago/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000257",
        "kind": "AI Systems",
        "type": "Historical AI System",
        "subtype": "",
        "classification": "Historical AI System",
        "organization": "Google DeepMind",
        "originContext": "Public AI and cultural record",
        "firstPublicAppearance": "2015",
        "currentStatus": "Historical record",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T00:00:00+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T00:00:00+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Historical AI milestone documentation",
            "Method or system lineage",
            "Public archival reference",
            "Influence on later AI research or products"
        ],
        "limitations": [
            "The system is documented primarily for historical significance and may no longer be maintained, accessible or representative of current AI practice.",
            "Reconstructions and later summaries can differ from the original hardware, software and experimental conditions.",
            "Performance should be interpreted in the historical context and evaluation methods of its period."
        ],
        "tags": [
            "Historical AI",
            "Research",
            "Historical AI System"
        ],
        "timeline": [
            {
                "date": "2015",
                "title": "Initial development or public milestone",
                "description": "AlphaGo entered the documented public record in 2015. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://deepmind.google/research/breakthroughs/alphago/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Google DeepMind",
                "type": "Organization Context",
                "description": "Google DeepMind is the primary organization or public context associated with AlphaGo.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000050"
            }
        ],
        "sources": [
            {
                "label": "AlphaGo official/reference source",
                "url": "https://deepmind.google/research/breakthroughs/alphago/",
                "source_type": "Official Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}