Complexity physics finds crucial tipping points in chess games

Quick Summary:

Physicist used interaction graphs to show how pieces attack and defend to analyze 20,000 top matches.

"With its simple rules yet vast strategic depth, chess provides an ideal platform for developing and testing algorithms in AI, machine learning, and decision theory," Barthelemy writes.

The game of chess has long been central to computer science and AI-related research, most notably in IBM's Deep Blue in the 1990s and, more recently, AlphaZero.

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Article Details

Author / Journalist: Jennifer Ouellette

Category: Technology

Markets: United StatesFrance

Topics: Physics Tipping points Networks Science Chess Mathematics Phase transitions

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2025-01-24 @ 18:02:50 (1 days ago)

News Timezone: GMT -5:00

News Source URL: arstechnica.com

Language: English

Article Length: 196 words

Reading Time: 2 minutes read

Sentences: 42 lines

Sentence Length: 5 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © Ars Technica

News ID: 25408473

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Main Topics: Technology

Official Website: arstechnica.com

Year Established: 1998

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