Data Science and Language Science Influence on Artificial Intelligence

EasyChair Preprint 14146

Abstract

This paper explores the intersection of data science, language science, and AI with AI+HI, analyzing their influence on understanding semantic and grammatical intertextuality. The method involves examining the emergence of phonetic and literal symbols from biological activity and unifying objective and subjective activities. Utilizing 3D space coordinates and the Taiji diagram, it maps intertextuality and creationism, aiming to deconstruct the creator and explore world ontology. Key characteristics include combining AI with data science and HI with language science, studying how interpersonal communication data structures and algorithms impact intersubjectivity. The goal is to integrate language philosophy and science, linking names and reality within a unified knowledge and practice framework, leading to the construction of an ultimate ontology rooted in epistemology and methodology.

The paper highlights the western tendency to overlook non-western language technologies' philosophical and scientific attributes, emphasizing the importance of integrating diverse philosophical and scientific traditions. The analysis suggests that cognitive elements have both microscopic and macroscopic spatial architectures, mapped by 3D coordinates, enabling holographic convergence of name-reality relationships. This reveals semantic generalizations and critical imagery deconstruction of logical transitions, mirroring Taoist and Yin-Yang principles.

In summary, the paper advocates an integrated AI+HI approach, emphasizing the interdependence of data science, language science, and AI in advancing human cognition and communication. It underscores the significance of intertextual analysis in unifying laws and theories, fostering a holistic understanding of human cognition and the world.

Keyphrases: AI mathematics and data science, Cognitive Computing, HI Chinese and language science, human-computer interaction system, philosophical common sense perspective, scientific system engineering method, system analysis

@booklet{EasyChair:14146,
  author    = {Shaobin Su and Xiaohui Zou and Yezhen Su},
  title     = {Data Science and Language Science Influence on Artificial Intelligence},
  howpublished = {EasyChair Preprint 14146},
  year      = {EasyChair, 2024}}