Karpov's Queen Sacrifices and AI
Shiva Maharaj, Nick Polson

TL;DR
This paper analyzes Anatoly Karpov's queen sacrifices using the Stockfish 14 NNUE AI engine, comparing their effectiveness to other sacrifices, and discusses implications for human understanding of AI-driven chess strategies.
Contribution
It introduces a systematic evaluation of Karpov's sacrifices with AI, providing new datasets and insights into human-AI chess strategy comprehension.
Findings
Karpov's queen sacrifices are highly effective according to AI evaluation.
Comparison shows similar accuracy levels for rook and knight sacrifices.
Implications for improving human understanding of AI chess strategies.
Abstract
Anatoly Karpov's Queen sacrifices are analyzed. Stockfish 14 NNUE -- an AI chess engine -- evaluates how efficient Karpov's sacrifices are. For comparative purposes, we provide a dataset on Karpov's Rook and Knight sacrifices to test whether Karpov achieves a similar level of accuracy. Our study has implications for human-AI interaction and how humans can better understand the strategies employed by black-box AI algorithms. Finally, we conclude with implications for human study in. chess with computer engines.
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Taxonomy
TopicsReinforcement Learning in Robotics · Computability, Logic, AI Algorithms · Language and cultural evolution
