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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2003 / Cilt: 3 - Sayı: 1

A new rule-based approach for computer chess programming using gp-artificial techniques: PECP

Ahmet SERTBAŞ
Y. Güney HANEDAN
Pages
793–800
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Also, using PECP, an example program (RETI V1.0) aimed to prove the correctness and performance of the rule-based theory and algorithm is written in PROLOG language.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, we use a brand new chess engine programming technique which we name PECP (Positional Evolutionary Chess Programming), that brings the Artificial Intelligence and Genetic Programming approaches together, to construct a chess endgame analyzing engine.
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Key Findings & Data:Throughout the paper, the technique and the algorithm are discussed in detail.
💡
Conclusion & Impact:Also, using PECP, an example program (RETI V1.0) aimed to prove the correctness and performance of the rule-based theory and algorithm is written in PROLOG language.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, we use a brand new chess engine programming technique which we name PECP (Positional Evolutionary Chess Programming), that brings the Artificial Intelligence and Genetic Programming approaches together, to construct a chess endgame analyzing engine. Throughout the paper, the technique and the algorithm are discussed in detail. Also, using PECP, an example program (RETI V1.0) aimed to prove the correctness and performance of the rule-based theory and algorithm is written in PROLOG language.

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Cite This Article

SERTBAŞ, A., HANEDAN, Y. G. (2022). A new rule-based approach for computer chess programming using gp-artificial techniques: PECP. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 3 - Sayı: 1, 793–800. https://ajindex.com/articles/543885

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References (9)

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