Skip to content
STIMSMITH

Conflict-Driven Learning

Technique

Conflict-Driven Learning is a program synthesis technique that leverages conflict analysis—analogous to the approach used in modern SAT solvers—to prune the search space and guide the synthesis of programs. It is employed within Program Synthesis to handle complex specifications by learning from conflicts encountered during the synthesis process.

First seen 7/1/2026
Last seen 7/1/2026
Evidence 1 chunks
Wiki v1

WIKI

Conflict-Driven Learning

Conflict-Driven Learning is a technique used in the field of program synthesis. It applies concepts from conflict analysis—originating in the domain of SAT solving—to the problem of automatically generating programs that satisfy a given specification. By analyzing and learning from conflicts that arise during the search for a valid program, the technique can prune infeasible portions of the search space and guide the synthesis process more efficiently.

The approach is particularly useful when dealing with complex specifications where naive search would be prohibitively expensive. By recording the reasons for conflicts and using that information to avoid similar dead ends in subsequent iterations, Conflict-Driven Learning helps synthesizers converge on correct programs faster.

READ FULL ARTICLE →

NEIGHBORHOOD

No graph connections found for this entity yet. It may appear in future ingestion runs.

explore full graph →

RELATIONSHIPS

1 connections
Program Synthesis uses → 95% 1e
Conflict-Driven Learning is applied to program synthesis.

CITATIONS

1 sources
1 citations — click to collapse
[1] Conflict-Driven Learning is used as a technique in Program Synthesis to guide the synthesis process by learning from conflicts during search. Genesys: A Novel Evolutionary Program Synthesis Tool with Continuous Optimization