Title
Author
Keywords
JOURNAL OF DIALECTICS OF NATURE
A Comprehensive, Academic Journal of the Philosophy, History, Sociology and Cultural Studies of Science and Technology
English
Chinese
Home
Browse
Published ahead of Print
Latest Issue
More Content
Purchase
Submit
Sign up/in
Author Guidelines
About Us
About the Journal
Editorial Board
Conference
Home
Browse
Published ahead of Print
Latest Issue
More Content
Purchase
Submit
Sign up/in
Author Guidelines
About Us
About the Journal
Editorial Board
Conference
Author Information
GUO Guichun
Information
<p>Research Center for Philosophy of Science and Technology</p><p>Shanxi University</p><p>guogc@sxu.edu.cn</p>
Research Articles
The Significance of the Analysis of Contradiction and Annotated Logic
Abstract: The problem of contradiction is an important one that restricts the development of AI. The epistemological interpretation of contradiction indicates that contradiction results from contradictory information, so the best way to solve the problem is to analyze contradictory information and get effective evidence for the proposition. Annotated logic presented by some logicians can be used to analyze contradictory information, because it can get the degree of certainty, the degree of contradiction and the real degree of evidence for the proposition by the analysis of favorable and unfavorable evidences, and therefore interpret the meaning of the proposition. The analysis of contradiction based on annotated logic not only promotes the development of AI, but it also explores the trends of computerization in the research on human rational thinking.
Author:
CUI Shuai
GUO Guichun
Issue:Volume 40, lssue 8, August 2018
Page: 35-43
Large Language Models and the Restructuring of the Cognitive Paradigm: The Limits of Recursion and the Essential Significance of Topological Evolution
Abstract: Traditional AI research dominated by recursive logic has been constrained by the combinatorial explosion inherent in rule-based symbolic systems and by the problem of infinite recursion, which together hinder an adequate formal representation of natural language. In contrast, large language models (LLMs) employ parallel, distributed computation over high-dimensional vector spaces and chain-of-thought processing; by replacing formal inference with probabilistic association, they achieve dynamic modeling of natural language. Each of these construction principles has a counterpart in linguistics: generative grammar, committed to recursion-centrism, has been challenged—indeed rejected—by ecolinguistic approaches, while distributed language theory further contends that language is an evolutionary phenomenon distributed across individuals and their social interactions. The shared foundational features of linguistic theory and technical practice indicate that a topology-oriented paradigm centered on dynamic relations and a recursion-oriented paradigm grounded in unbounded symbolic operations constitute two fundamental frameworks for explaining human cognitive structure. They also indicate an ongoing shift in cognitive science from formal axiomatization toward practice-oriented model construction. Key Words: Recursion; Distributed computation; Distributed language; Topology; Cognitive paradigm
Author:
GUO Guichun
LIANG Dezhu
Issue:Volume 48, lssue 5, May 2026
Page: 1-10
JOURNAL OF DIALECTICS OF NATURE
About the Journal
Submit
Author Guidelines
Purchase Information
Help
Contact Us
Address: No.19A Yuquan Road, Beijing, 100049, China
Phone: +86-10-88256007
Email:
jdn@ucas.ac.cn
Follow Us
© 2014 Copyright of the University of Chinese Academy of Sciences
© 2014 Copyright of the University of Chinese Academy of Sciences