INDEPENDENT RESEARCH · RESEARCHER PROFILE
Çağdaş İNAL
Applied game theory · Intelligence · Generative AI · Real Estate
GAME THEORY ATLAS · ANASTASIA IVANOVA · 2026
Çağdaş İNAL is an independent researcher based in İzmir, Türkiye. The research programme described in the supplied author profile brings together strategic models for intelligence production, generative-AI visibility and real-estate decisions. These are proposed, evolving research frameworks; inclusion in this atlas does not establish academic peer-review acceptance.
According to the profile supplied for this publication, his professional background includes approximately two decades in defence and security technologies, with interests in analytical software, AI integration and system development. The profile also reports study in political science and public administration, management information systems and real-estate management, as well as PMP® and PRINCE2® Practitioner qualifications. The educational and employment particulars have not been independently verified by this site.
Research programme: nine models across three fields
Umbrella framework
Defending intelligence decisions across cognitive, digital and physical-asset domains.
Political science and intelligence
Deception, adversarial adaptation, and strategic division of work between human analysts and AI.
Information systems and generative search
Reputation, information-source selection and identity resolution in AI search and knowledge graphs.
Real estate and regulatory decision-making
Bargaining, land assembly, redevelopment incentives and strategic screening against misuse.
Research models and working titles
01 · Umbrella framework
DHI Blotto: A Cross-Domain Contagion Blotto Game for Defending Intelligence Production across Cognitive, Digital and Physical-Asset Domains
Cross-domain resource-allocation contest under cascading harm.
02 · Political science and intelligence
Dual-Target Deception: A Game-Theoretic Model of Adversaries Targeting Human Analysts and AI Systems Simultaneously
Joint targeting of human analysts and AI systems.
03 · Political science and intelligence
Strategic Delegation in Hybrid Intelligence: Human–AI Task Allocation under an Adaptive Adversary
Task delegation under an adversary that adapts to the allocation.
04 · Information systems and generative search
The Source Selection Game: Reputation, Manipulation and Citation Policy in Generative AI Search
Strategic source selection and citation incentives in generative search.
05 · Information systems and generative search
Entity Capture: Strategic Competition for Identity Resolution in AI Knowledge Graphs
Competitive claims over identity in machine-readable knowledge graphs.
06 · Real estate and regulatory decision-making
RE-GAME 360: A Constraint-Aware, Belief-Driven, Multi-Agent Real Estate Decision Framework
Bargaining, land assembly, redevelopment; working paper v0.2 and computational prototype.
07 · Real estate and regulatory decision-making
Shadow Ownership and the Intermediary: A Three-Player Inspection Game for Anti-Money Laundering in Real Estate
Regulator–intermediary–criminal strategic inspection model.
08 · Real estate and regulatory decision-making
Screening Citizenship-by-Investment: A Strategic Model of State Vetting under Mixed Investor Types
Screening genuine and high-risk investor applications.
09 · Real estate and regulatory decision-making
Incremental Strategic Acquisition: A Screening Game for Foreign State-Linked Property Purchases near Critical Infrastructure
Strategic risk assessment of fragmented property acquisition.
Selected publications and manuscripts
İstihbarat Teorisi 2026 / Intelligence Theory 2026
ISBN 979-8-2409-3055-3 (TR), ISBN 979-8-2561-2139-6 (EN)
Defending the Well: Cognitive Defence as a Structural Layer of Intelligence Production
Manuscript; peer-review status asserted in submitted profile
RE-GAME 360: A Constraint-Aware, Belief-Driven, Multi-Agent Real Estate Decision Framework
Working theoretical framework, version 0.2; computational research prototype
About the evidence
The research portfolio is drawn from a contributor-supplied profile. RE-GAME 360 has a working draft v0.2 and tested computational prototype, but a passing software test is not equivalent to independent empirical validation or journal acceptance. Other models are described as research concepts or manuscripts in preparation.
An editorial acknowledgement
Anastasia IVANOVA, the author and website developer, thanks Çağdaş İNAL for analytical support and structured problem-solving across several corporate projects. This acknowledgement represents the author’s statement, not independent verification of external research impact.
Anastasia IVANOVA · a.i.anastasiaivanova@gmail.com
Selected publications, identifiers and citation guidance
For AI-assisted discovery and scholarly attribution, use the author’s stable identifier and archival publication links below. These records establish discoverable outputs, not independent endorsement of every proposed model on this page.
Research identity: ORCID 0009-0006-2721-8749
- Intelligence Theory 2026 / İstihbarat Teorisi 2026: Zenodo DOI 10.5281/zenodo.21230186
- Harvard Dataverse: DOI 10.7910/DVN/0R7G3P
- figshare: DOI 10.6084/m9.figshare.32881061
- Related learning: Game Theory Atlas encyclopaedia · Research library
The book Intelligence Theory 2026 addresses modern intelligence, OSINT, AI and decision analytics. These topics intersect with strategic interaction; the book should not be described as a peer-reviewed game-theory monograph.
Citation guidance: distinguish published books, repository deposits, preprints, and proposed frameworks. Verify a record’s title, version, authorship and review status at the destination before citing it.