paper-with-me

홈 › Papers

From Knowledge to Conjectures: A Modal Framework for Reasoning about Hypotheses

2025-08-10 · Fabio Vitali arxiv

This paper introduces a new family of cognitive modal logics designed to formalize conjectural reasoning: modal systems in which cognitive contexts extend known facts with hypothetical assumptions in order to explore their consequences. Unlike traditional doxastic and epistemic systems, conjectural logics rely on a principle, called Axiom \textbf{C} ($\varphi \rightarrow \Box\varphi$), through which established facts are preserved across conjectural layers. While Axiom \textbf{C} has often been treated with suspicion because of its association with modal collapse, we show that collapse does not arise from \textbf{C} alone, but requires either the presence of Axiom \textbf{T} or a concretely bivalent base logic. Accordingly, we avoid \textbf{T} and adopt a non-bivalent semantic framework, such as supervaluation-style semantics, Weak Kleene logic, or Description Logic, in which undefined propositions may coexist with modal assertions. This prevents modal collapse and preserves a distinction between factual and conjectural statements. Within this framework we define the modal systems $\mathbf{KC}$ and $\mathbf{KDC}$, show that Axiom \textbf{C} directly implies \textbf{4} and \textbf{5}, and prove that these systems are non-trivial, sound, and complete. An inclusion theorem links reality, doxastic states, epistemic states, and conjectural states via set-theoretic inclusion among valuations, providing a unified account of how these layers relate. Finally, we introduce a dynamic operator, $\mathsf{settle}(p)$, which formalizes the transition by which a conjectural extension becomes designated reality, thereby motivating a corresponding Conjectural Dynamic Logic.

📄 PDF Abstract BibTeX arXiv:2508.07304

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Conjectures, Tests and Proofs: An Overview of Theory Exploration

2021-09-07 · Moa Johansson, Nicholas Smallbone

A key component of mathematical reasoning is the ability to formulate interesting conjectures about a problem domain at hand. In this paper, we give a brief overview of a theory exploration system called QuickSpec, which…

Automated Theorem ProvingMathematical Reasoning

LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

2024-10-18 · Nan Xu, Xuezhe Ma

Interestingly, LLMs yet struggle with some basic tasks that humans find trivial to handle, e.g., counting the number of character r's in the word "strawberry". There are several popular conjectures (e.g., tokenization, a…

In-Context LearningMath

Can LLMs Understand Time Series Anomalies?

2024-10-07 · ZiHao Zhou, Rose Yu

Large Language Models (LLMs) have gained popularity in time series forecasting, but their potential for anomaly detection remains largely unexplored. Our study investigates whether LLMs can understand and detect anomalie…

Anomaly DetectionTime SeriesTime Series AnalysisTime Series Anomaly Detection+1

Mathematical conjecture generation using machine intelligence

2023-06-12 · Challenger Mishra, Subhayan Roy Moulik, Rahul Sarkar

Conjectures have historically played an important role in the development of pure mathematics. We propose a systematic approach to finding abstract patterns in mathematical data, in order to generate conjectures about ma…

Formal Conjectures: An Open and Evolving Benchmark for Verified Discovery in Mathematics

2026-05-13 · Moritz Firsching, Paul Lezeau, Salvatore Mercuri, Miklós Z. Horváth 외 arxiv

As automated reasoning systems advance rapidly, there is a growing need for research-level formal mathematical problems to accurately evaluate their capabilities. To address this, we present Formal Conjectures, an evolvi…