Araştırma Makalesi

Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms

Sayı: Advanced Online Publication 6 Ocak 2026
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Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms

Abstract

Considering today's geopolitical conditions, the risks of war and global transformation increasingly highlight the importance of intelligence. Intelligence diplomacy has become a critical component of national security and foreign policy processes. Intelligence diplomacy, an attempt to reduce conflicts and wars by shaping diplomacy through intelligence activities, rather than conflicts themselves, strives to utilize not only the social sciences but also all the instruments of the field. The primary objective of this study is to demonstrate the feasibility of this field, along with its first application, by conducting an application in the field of "intelligence engineering," a recently discussed need for which has not yet been implemented in practice. This study designed a game theory-based engineering problem by developing a successful decision algorithm to gain an advantage over adversaries in an intelligence-based diplomacy case. Engineering methods such as artificial intelligence, heuristic and metaheuristic algorithms, and pattern-based analysis were utilized in generating these decision alternatives. Furthermore, a simulation structure consisting of 1000 games, including 75,000 iterations determined through parameter optimization, was constructed and run to investigate which strategy, and therefore which engineering approach, yielded the most successful results. However, the real significance of the study is that it provides evidence in the literature that the concept of "intelligence engineering" is not a utopian approach but a feasible systematic approach, through the first academic application of engineering-oriented scientific and "objective" approaches in intelligence science, instead of traditional social science-oriented "subjective" approaches.

Keywords

Kaynakça

  1. Tzu S. Art of War. California, USA, Ixia Press, 2019.
  2. [2] Andrew C. The secret world: a history of intelligence. Connecticut, USA, Yale University Press, 2018.
  3. [3] Keegan J. Intelligence in War: Knowledge of the Enemy from Napoleon to Al-Qaeda. New York, USA, Vintage Books, 2004.
  4. [4] Sağer I. Bir işletmenin çevre etkisinin ekolojik ayak izi uygulaması ile değerlendirilmesi. MSc Thesis, Pamukkale University, Denizli, Turkiye, 2019.
  5. [5] Güven MO, "Intelligence Theory from an Epistemological Perspective". İstihbarat Çalışmaları ve Araştırmaları Dergisi, 4(1), 26-3, 2025.
  6. [6] Özdağ Ü. İstihbarat Teorisi. Ankara, Turkiye, Kripto Kitaplar, 2008.
  7. [7] Fidan H. Intelligence and foreign policy: A comparison of British, American and Turkish intelligence systems. MSc Thesis, İhsan Doğramacı Bilkent University Ankara, Turkiye, 1999.
  8. [8] Marrin S. Improving intelligence analysis: Bridging the gap between scholarship and practice (Studies in Intelligence). Londra, UK, Routledge, 2012.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka (Diğer)

Bölüm

Araştırma Makalesi

Yazarlar

Erken Görünüm Tarihi

6 Ocak 2026

Yayımlanma Tarihi

6 Ocak 2026

Gönderilme Tarihi

10 Şubat 2025

Kabul Tarihi

1 Aralık 2025

Yayımlandığı Sayı

Yıl 2026 Sayı: Advanced Online Publication

Kaynak Göster

APA
Sağer, İ., & Özdemir, G. (2026). Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Advanced Online Publication. https://doi.org/10.65206/pajes.56383
AMA
1.Sağer İ, Özdemir G. Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026;(Advanced Online Publication). doi:10.65206/pajes.56383
Chicago
Sağer, İlhan, ve Gültekin Özdemir. 2026. “Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, sy Advanced Online Publication. https://doi.org/10.65206/pajes.56383.
EndNote
Sağer İ, Özdemir G (01 Ocak 2026) Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi Advanced Online Publication
IEEE
[1]İ. Sağer ve G. Özdemir, “Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, sy Advanced Online Publication, Oca. 2026, doi: 10.65206/pajes.56383.
ISNAD
Sağer, İlhan - Özdemir, Gültekin. “Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. Advanced Online Publication (01 Ocak 2026). https://doi.org/10.65206/pajes.56383.
JAMA
1.Sağer İ, Özdemir G. Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026. doi:10.65206/pajes.56383.
MLA
Sağer, İlhan, ve Gültekin Özdemir. “Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, sy Advanced Online Publication, Ocak 2026, doi:10.65206/pajes.56383.
Vancouver
1.İlhan Sağer, Gültekin Özdemir. Implications of intelligence engineering: Designing intelligence diplomacy through game theory, reinforcement learning, and metaheuristic algorithms. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 01 Ocak 2026;(Advanced Online Publication). doi:10.65206/pajes.56383