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Encoding BDI Syntax with Theories in Event-B | Seminars | The University of Aberdeen

abdn.ac.uk

Formalising how AI agents reason about Beliefs, Desires, and Intentions in Event-B reveals whether machine "minds" can be made mathematically provable — and what that means for trustworthy AI.

BDI Agent TheoryFormal MethodsEvent-B ModellingAlgebraic Data Types
Encoding BDI Syntax with Theories in Event-B | Seminars | The University of Aberdeen

Theory Briefing

  • BDI agents model rational decision-making via Beliefs, Desires, and Intentions — the paper encodes this in Event-B's formal algebraic syntax.
  • Using inductive data types in Event-B theories, researchers create a rigorous structural blueprint for how autonomous agents represent and process goals.
  • Formal verification of BDI syntax bridges AI agent theory and mathematical proof, pushing toward provably correct autonomous systems.
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