Table of Contents
Fetching ...

Semantic Foundations of Reductive Reasoning

Alexander V. Gheorghiu, David J. Pym

TL;DR

This paper develops the semantic foundations for reductive reasoning, a backward-inference paradigm that complements traditional deductive logic by focusing on reduction operators. It provides two complementary frameworks: a denotational semantics that models reduction operators as partial mappings to finite subgoals and a coinductive space of reductions, and an operational semantics based on GSOS that treats reductions as stateful transitions and supports large steps and composition. The authors connect reductive logic to proof-theoretic semantics (P-tS) and Milner’s tactical proof, showing that tactical proof arises naturally as an instance of P-tS for reductive reasoning. They also introduce the notion of control regimes to manage proof-search, discuss soundness and completeness relative to a base logic, and outline directions for handling information flow and proof plans in future work. The work provides a rigorous foundation for the semantic analysis of reduction and has implications for automated theorem proving, proof assistants, and practical problem-solving frameworks.

Abstract

The development of logic has largely been through the 'deductive' paradigm: conclusions are inferred from established premisses. However, the use of logic in the context of both human and machine reasoning is typically through the dual 'reductive' perspective: collections of sufficient premisses are generated from putative conclusions. We call this paradigm, 'reductive logic'. This expression of logic encompass as diverse reasoning activities as proving a formula in a formal system to seeking to meet a friend before noon on Saturday. This paper is a semantical analysis of reductive logic. In particular, we provide mathematical foundations for representing and reasoning about 'reduction operators'. Heuristically, reduction operators may be thought of as `backwards' inference rules. In this paper, we address their mathematical representation, how they are used in the context of reductive reasoning, and, crucially, what makes them 'valid'.

Semantic Foundations of Reductive Reasoning

TL;DR

This paper develops the semantic foundations for reductive reasoning, a backward-inference paradigm that complements traditional deductive logic by focusing on reduction operators. It provides two complementary frameworks: a denotational semantics that models reduction operators as partial mappings to finite subgoals and a coinductive space of reductions, and an operational semantics based on GSOS that treats reductions as stateful transitions and supports large steps and composition. The authors connect reductive logic to proof-theoretic semantics (P-tS) and Milner’s tactical proof, showing that tactical proof arises naturally as an instance of P-tS for reductive reasoning. They also introduce the notion of control regimes to manage proof-search, discuss soundness and completeness relative to a base logic, and outline directions for handling information flow and proof plans in future work. The work provides a rigorous foundation for the semantic analysis of reduction and has implications for automated theorem proving, proof assistants, and practical problem-solving frameworks.

Abstract

The development of logic has largely been through the 'deductive' paradigm: conclusions are inferred from established premisses. However, the use of logic in the context of both human and machine reasoning is typically through the dual 'reductive' perspective: collections of sufficient premisses are generated from putative conclusions. We call this paradigm, 'reductive logic'. This expression of logic encompass as diverse reasoning activities as proving a formula in a formal system to seeking to meet a friend before noon on Saturday. This paper is a semantical analysis of reductive logic. In particular, we provide mathematical foundations for representing and reasoning about 'reduction operators'. Heuristically, reduction operators may be thought of as `backwards' inference rules. In this paper, we address their mathematical representation, how they are used in the context of reductive reasoning, and, crucially, what makes them 'valid'.

Paper Structure

This paper contains 11 sections, 2 theorems, 40 equations, 5 figures.

Key Result

Theorem 10

For any $G \in \mathbb{GOALS}$,

Figures (5)

  • Figure 1: Curry-Howard-Lambek Correspondence
  • Figure 2: Constructions-as-Realizers-as-Arrows Correspondence
  • Figure 3: Reduction Space for $\varphi, \varphi \supset \varphi \triangleright \varphi$
  • Figure 4: A Reduction Tree for $(\varphi, \varphi \supset \psi \triangleright \psi)$
  • Figure 5: The Input/Output Method

Theorems & Definitions (23)

  • Example 1: see Milner milner1984tactics
  • Example 2: Example \ref{['ex:Alice-Bob-1']} cont'd
  • Example 3: Infinite Reduction
  • Example 4: Termination \ref{['def:t1']}
  • Example 5: Termination \ref{['def:t2']}
  • Definition 6: Reduction Space
  • Example 7
  • Definition 8: Reduction Tree
  • Example 9
  • Theorem 10
  • ...and 13 more