Adi's Theory of Semantics

Adi's Theory of Semantics basically states that human languages offer signs that enjoy relations of symmetry.  Symmetry is found in all natural laws, and ATS proposes a theory that explains why the signs are the way they are.

Adi's Theory of Semantic (ATS) was first published in the 2006 book "Semiotics and Intelligent Systems Development" edited by Ricardo Gudwin and João Queiroz.  We recommend this book as it contains contrasting views on semiotics and meaning.

Book Description

Release date: November 16, 2006
The fields of artificial intelligence, intelligence control, and intelligent systems are constantly changing. Semiotics and Intelligent Systems Development assembles semiotics and artificial intelligence techniques in order to design new kinds of intelligence systems. An evolutionary publication, Semiotics and Intelligent Systems Development forever changes the research field of artificial intelligence by incorporating the study of meaning processes (semiosis), from the perspective of formal sciences, linguistics, and philosophy.

This is the link to Adi's chapter with the scientific study and proofs of his theory of semantics. Here is a link to the book.

Because ATS is a theory of learning and well as semantics, the empirical study of ATS afforded by Readware Technology was instrumental to the formal development of a theory of cognition.  This was published in Volume 2, Issue 2. 2009 of the Journal of Information Technology Research.

Journal Article Description

A New Theory of Cognition and Software Implementations in Information Technology

Tom Adi (Management Information Technologies, Inc., USA), O. K. Ewell (Management Information Technologies, Inc., USA), Patricia Adi (Management Information Technologies, Inc., USA) and Tim Vogel (Heur-e-ka, LLC, USA)

Abstract
The Scientific Method means that theories are developed to explain observed phenomena— similar to the task of text analysis—or to search for unobserved phenomena—similar to text retrieval. Theory development means testing a large number of proposed theories (hypotheses) until one is corroborated. To make theory development efficient, a method is needed to construct promising theories—ones more likely to succeed. Such a method is part of a new theory of cognition that is introduced. The theory is implemented in the software Readware. Readware uses theory development methods for text analysis and retrieval. Readware’s development, features and large-scale performance are reviewed. This includes a fast ontology-building system, the cross-lingual word-root theory base, a language to code theories, algorithms and ontology implementations, and software applications and servers that perform text analysis and retrieval using Readware API functions. 

Keywords: Fast Ontology Building; Readware; Text Analysis; Text Retrieval; Theory-Based Search; Theory Development Algorithm

[Article copies are available for purchase from InfoSci-on-Demand.com]

Volume 2, Issue 2. Copyright © 2009. 25 pages.

Additional Papers