About M2MINT™

Machine-to-Machine Intelligence (M2MINT™) is a conceptual framework for examining how intelligence and counterintelligence relationships may emerge among autonomous and semi-autonomous artificial agents.

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As artificial intelligence systems become increasingly capable of observing environments, interacting with other systems, making decisions, and adapting their behaviour, they may function not only as intelligence tools, but also as intelligence actors and intelligence targets.

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M2MINT™ examines what happens when one artificial agent begins to systematically collect and interpret information about another artificial system, including its behaviour, capabilities, constraints, decision patterns, responses, and potential vulnerabilities in order to develop an intelligence model of that system.

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• UNDERSTAND M2MINT™
  Discover what M2MINT™ is, what it is not, and the conceptual boundaries that define the framework.
  UNDERSTAND M2MINT™? →

 

 

• EXPLORE THE M2MINT™ CONCEPTUAL FRAMEWORK
  Discover the framework's intelligence cycle, Behavioural Intelligence Model (BIM), Machine Intelligence Target Surface (MITS), Machine Espionage, Machine Counterintelligence (MCI), and Autonomous Intelligence Competition (AIC).
  EXPLORE THE FRAMEWORK →

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• EXPLORE THE RESEARCH 
  Access the original M2MINT™ research papers, available in English and Turkish.
  VIEW RESEARCH →

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• EXPLORE THE M2MINT™ RESEARCH LAB
  Explore the proposed experimental environment, research scenarios, and research questions designed to investigate M2MINT™ concepts under controlled conditions.
  EXPLORE THE RESEARCH LAB →
  
   

• M2MINT™ IN PRACTICE: A HYPOTHETICAL SCENARIO
  Follow a hypothetical interaction between two AI agents to see how observation, probing, behavioural modelling, and counterintelligence responses relate to the M2MINT™ framework.
  EXPLORE THE SCENARIO →

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Framework developed by Ziya Gokalp · September 2026