# AlphaGo versus Fan Hui

> match between AlphaGo and Fan Hui in October 2015

**Wikidata**: [Q42296896](https://www.wikidata.org/wiki/Q42296896)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/AlphaGo_versus_Fan_Hui)  
**Source**: https://4ort.xyz/entity/alphago-versus-fan-hui

## Summary
AlphaGo versus Fan Hui was a human–computer match held in London in October 2015, where the artificial intelligence system AlphaGo competed against the human Go player Fan Hui. Taking place between October 5 and October 9, the event is recognized as a significant milestone in artificial intelligence, resulting in a victory for the AI.

## Key Facts
- **Event Type:** Instance of a Go competition, bango, and human–computer match.
- **Participants:** AlphaGo Fan (AI) and Fan Hui (Human).
- **Winner:** AlphaGo Fan.
- **Start Date:** October 5, 2015.
- **End Date:** October 9, 2015.
- **Location:** London.
- **Described by Source:** *Mastering the game of Go with deep neural networks and tree search*.
- **Google Knowledge Graph ID:** /g/11gc9gd288.
- **Aliases:** AlphaGo vs Fan Hui, AlphaGo vs. Fan Hui, AlphaGo v Fan Hui, AlphaGo v. Fan Hui, Fan Hui versus AlphaGo, Fan Hui vs AlphaGo, Fan Hui vs. AlphaGo, Fan Hui v AlphaGo, Fan Hui v. AlphaGo, AlphaGo contra Fan Hui.

## FAQs
### Q: When and where did AlphaGo versus Fan Hui take place?
The match was held in London from October 5, 2015, to October 9, 2015.

### Q: Who were the competitors in this match?
The competitors were the artificial intelligence system AlphaGo Fan and the professional human Go player Fan Hui.

### Q: What was the outcome of AlphaGo versus Fan Hui?
AlphaGo Fan was declared the winner of the match.

### Q: What is the significance of this event in the context of AI research?
This match serves as a benchmark for AI capabilities in decision-making and strategy, similar to other notable human–computer matches like Deep Blue versus Garry Kasparov and AlphaGo versus Lee Sedol.

## Why It Matters
The AlphaGo versus Fan Hui match represents a pivotal moment in the history of artificial intelligence and human–computer interaction. As a specific instance of a human–computer match, it demonstrated the ability of AI to compete with and defeat human experts in complex strategic games like Go, a feat previously thought to be decades away. The event provided critical real-world testing grounds for AI algorithms, specifically in deep learning and neural networks, allowing researchers to analyze decision-making processes and refine machine learning models. By highlighting the rapid evolution of AI, this match contributed to the broader understanding of cognitive processes and helped shape the future integration of AI technology into society.

## Notable For
- Serving as a landmark "human–computer match" where an AI system defeated a professional human player in Go.
- Acting as a precursor to other high-profile AI matches, such as AlphaGo versus Lee Sedol and AlphaGo versus Ke Jie.
- Demonstrating advanced AI decision-making and strategy within the domain of Go (bango).
- Being formally described in the seminal research paper *Mastering the game of Go with deep neural networks and tree search*.

## Body
### Event Overview
AlphaGo versus Fan Hui was a competitive event classified as a Go competition, a bango, and a human–computer match. The event took place in London, beginning on October 5, 2015, and concluding on October 9, 2015. The primary objective was to pit a human intelligence against artificial intelligence in the complex strategy game of Go.

### Participants and Outcome
The match featured two distinct types of competitors:
*   **AlphaGo Fan:** An artificial intelligence system acting as the computer player.
*   **Fan Hui:** A human professional Go player.

The result of the competition was a victory for AlphaGo Fan. This outcome aligned with the broader trend of AI systems achieving dominance in strategic gameplay, following historical precedents such as Deep Blue’s victory over Garry Kasparov.

### Context of Human–Computer Interaction
This event falls under the broader class of "human–computer matches," which are defined as events having both human and AI players as competitors. These matches are facets of artificial intelligence and sports competition designed to benchmark AI capabilities. They provide insights into human–computer interaction by analyzing the dynamic between human cognition and machine learning.

The AlphaGo versus Fan Hui match is frequently cited alongside other notable AI competitions, including:
*   AlphaGo versus Lee Sedol
*   AlphaGo versus Ke Jie
*   Deep Blue versus Garry Kasparov

### Documentation and Sources
The match and the technology behind it are extensively documented. The event is described by the source *Mastering the game of Go with deep neural networks and tree search*. It is listed in the Google Knowledge Graph with the ID `/g/11gc9gd288` and has associated Wikipedia pages in English, Italian, and Portuguese.

## References

1. Mastering the game of Go without human knowledge
2. [Go Ratings](https://www.goratings.org/en/players/1480.html)