Dynamic Formal Systems Laboratory

Where mathematics meets machine intelligence

At the DFS Lab, we bridge the gap between pure mathematics and artificial intelligence through constraint generation and advanced formal systems. Our research in System F, System T, and beyond is reshaping how AI understands logic, proof, and reasoning.

Mathematical formulas and AI visualization

The Frontier of Formal AI

Constraint Generation Meets Type Theory

Our approach to AI isn't just about neural networks - it's about fundamental mathematical structures that govern reasoning itself.

System F & Polymorphic Types

Leveraging second-order lambda calculus to create AI systems that understand abstract mathematical concepts.

System T & Recursive Functions

Building AI that can reason about computation itself using Gödel's System T for primitive recursive functions.

Constraint Generation

Dynamic generation of logical constraints that guide AI reasoning in mathematically rigorous ways.

Research Areas

Mathematical AI at its Core

Our research spans the intersection of formal logic, type theory, and artificial intelligence

Constraint-Based Reasoning

Developing AI systems that generate and solve complex logical constraints in real-time.

Type-Theoretic AI

Using advanced type systems to create AI that understands mathematical proofs and abstractions.

Formal Verification

Building AI systems whose reasoning can be formally verified and mathematically proven correct.

Dynamic Logic Systems

Creating adaptive logical frameworks that evolve and optimize their reasoning patterns.

Proof Synthesis

AI that can generate mathematical proofs and verify their correctness using formal methods.

Meta-Mathematical AI

Systems that reason about mathematics itself, understanding the structure of mathematical knowledge.

Research Impact

DFS Lab Metrics

Quantifying our impact on formal AI research

47
Formal Systems Implemented
12
Research Papers In Progress
3
Potentially Breakthrough Theorems
Lines of Proof Code

Current Projects

The Next Generation of Mathematical AI

Our flagship project combines Typed lambda-calculi polymorphism with dynamic constraint generation to create AI systems that can reason about abstract mathematical concepts with unprecedented depth and flexibility. AI that's not just a stochastic parrot, but a truth-seeking automaton.

AI and mathematics visualization