Science vs. Sophistry—A historical debate on bipolar fuzzy sets and equilibrium-based mathematics for AI&QI

Author:

Zhang Wen-Ran1

Affiliation:

1. Department of Computer Science, Georgia Southern University, Statesboro, GA, USA

Abstract

The road from bipolar fuzzy sets to equilibrium-based mathematical abstraction is surveyed. A continuing historical debate on bipolarity and isomorphism is outlined. Related literatures are critically reviewed to counter plagiarism, distortion, renaming, and sophistry. Based on the debate, the term “isomorphistry” is coined. It is concluded that if isomorphism is used correctly it can be helpful in mathematics. If abused it may become isomorphistry—a kind of historical, socially constructed, entrenched, and “noble” hypocrisy hindering major scientific advances. It is shown that isomorphistry can be motivated by “denying” the originality of bipolar fuzzy sets and aimed at “justifying” plagiarism and distortion. Thus, isomorphistry is sophistry on isomorphism. Some (-,+)-bipolar isomorphistry behaviors are critiqued. YinYang vs. YangYin are distinguished. The geometrical and logical basis of equilibrium-based AI&QI computing machinery is introduced as a new computing paradigm with logically definable causality for mind-body unity. A philosophical joke on sophistry is appended.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference71 articles.

1. Zhang W.-R. , YinYang Bipolar Relativity: A Unifying Theory of Nature, Agents and Causality with Applications in Quantum Computing, Cognitive Informatics and Life Sciences, New York: IGI Global, 2011.

2. Zhang W.-R. , Bipolar fuzzy sets and relations: A computational framework for cognitive modeling and multiagent decision analysis, in Proc. 1st Int. Joint Conf. North American Fuzzy Information Processing Society Biannual Conf., San Antonio, TX, USA, 1994, pp. 305–309.

3. NPN Fuzzy Sets and NPN Qualitative-Algebra: A Computational Framework for Bipolar Cognitive Modeling and Multiagent Decision Analysis;Zhang;IEEE Trans on Sys, Man, and Cybern,1996

4. Zhang W.-R. , YinYang Bipolar fuzzy sets, in Proc. IEEE World Congr. Comp. Intelligence, Anchorage, Alaska, 1998, pp. 835–840

5. The Road from Fuzzy Sets to Definable Causality and Bipolar Quantum Intelligence—To the Memory of Lotfi A. Zadeh;Zhang;J of Intel & Fuzzy Sys

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