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Auditable Reasoning for Complex Business Problems

Not Black-Box Reasoning, But Traceable Reasoning Chains


Dmmsys logic reasoning engine decomposes complex business questions into logic dependency graphs, executes multi-step reasoning with framework constraints, and makes each step traceable. Unlike LLM's black-box reasoning, the logic reasoning engine generates human-readable reasoning processes that are auditable, verifiable, and explainable.

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Logic Reasoning Engine

Auditable Reasoning for Complex Problems
Decomposition · Multi-Step · Auditable Trace

Problem Decomposition


LLM decomposes complex business questions into logic dependency graphs, identifying dependencies between sub-problems.

Not one-shot answers, but breaking complex problems into manageable sub-problems for incremental solving.

1)    Problem identification: LLM analyzes the question, identifies sub-problems to solve.

2)    Dependency analysis: analyzes dependencies between sub-problems, determines solving order.

3)    Topological sort: topologically sorts sub-problems to ensure correct solving order.

4)    Context passing: previous sub-problem's solution feeds the next, passing context information.



Multi-Step Reasoning


Execute multi-step reasoning with framework constraints, topological sort plus context passing.

Each step has clear inputs, outputs, and reasoning rules, ensuring controllable reasoning.

1)    Framework constraints: reasoning executes within predefined framework constraints.

2)    Step-by-step reasoning: execute reasoning in topological order, each step with clear I/O.

3)    Context passing: previous step's results feed the next, maintaining reasoning coherence.

4)    Intermediate result caching: intermediate results can be cached to avoid recomputation.



Auditable Trace


Each reasoning step traceable, logic.trace records human-readable reasoning process.

Reasoning is not a black box, but a transparent chain that is auditable, verifiable, explainable.

1)    Reasoning records: each step records input, output, reasoning rules, execution time.

2)    Human-readable: records displayed in human-readable format for easy understanding and auditing.

3)    Reasoning replay: can replay the complete reasoning process, checking correctness step by step.

4)    Reasoning verification: can verify reasoning results to ensure correctness.



Reasoning Framework


Predefined reasoning frameworks constrain the reasoning process for controllability and reliability.

Frameworks define available reasoning rules, constraints, and verification methods.

1)    Reasoning rules: frameworks predefine available rules, LLM reasons within rule scope.

2)    Constraints: frameworks define constraints preventing reasoning from going off track.

3)    Verification methods: frameworks define result verification methods for correctness.

4)    Framework extension: custom reasoning frameworks for different business scenarios.



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