Exploring AI Consciousness: Integrating Theory, Practice, and the NeuroFlex Architecture

EasyChair Preprint 15081

Abstract

Artificial Intelligence (AI) consciousness represents the concept of replicating human-like awareness and cognitive abilities within machines. Although AI consciousness remains largely theoretical, notable advancements have been made by integrating frameworks such as Global Workspace Theory (GWT), Integrated Information Theory (IIT), Attention Schema Theory (AST), and Higher-Order Thoughts (HOT). This paper investigates the implementation of these theories within the NeuroFlex architecture, aiming to achieve various consciousness levels. The research further presents empirical evidence of these achievements through comprehensive tests validating cognitive architectures.

Keyphrases: Artificial Intelligence (AI), Attention Schema Theory (AST), Global Workspace Theory(GWT), Higher Order Thoughts (HOT), Integrated Information Theory (IIT)

@booklet{EasyChair:15081,
  author    = {S Kasinadhsarma},
  title     = {Exploring AI Consciousness: Integrating Theory, Practice, and the NeuroFlex Architecture},
  howpublished = {EasyChair Preprint 15081},
  year      = {EasyChair, 2024}}