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Artificial Intelligence and Semiotics: Using Semiotic Learning to Bolster AI

Authors:
Joshua Sipper

Keywords: cyber; artificial intelligence; semiotics; accommodation; assimilation; heuristics.

Abstract:
Abstract— Artificial Intelligence (AI) continues to grow into areas such as Natural Language Processing (NLP) and other arenas where understanding the meaning behind speech, images, and symbols are of increasing importance such as education. These realms of understanding are not merely semantic, but semiotic in scope, carrying with them the potential for AI to grow toward the understanding of the meaning behind what is being said, written, pictured, or symbolized. This growth necessitates the advancement of techniques in semiotic learning such as neural sketch learning, paradigmatic associations, and advanced heuristics. In this paper, semiotic learning will be defined and discussed. Additionally, some techniques and strategies for AI semiotic learning will be discussed and modeled including an AI accommodation/assimilation model. These strategies are ultimately useful for defensive cyber operations and offensive cyber operations through the use of semiotic context matching to improve defensive and offensive strategies.

Pages: 1 to 8

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISSN: 2519-8599

ISBN: 978-1-68558-186-2

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024