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Artificial Consciousness Philosophy

20 Jan 2025

—layout: post title: “Philosophy of Artificial Consciousness: TCAI’s Theoretical Framework” description: “Exploring the philosophical foundations of artificial consciousness development through the TCAI project, examining key theories and their practical implementation.” keywords: “artificial consciousness, philosophy of mind, TCAI, consciousness theories, cognitive architecture, AI development” date: 2025-01-20 last_modified_at: 2026-06-30 author: “Zaesar” category: “Research” tags: [ “Philosophy of Mind”, “Artificial Consciousness”, “TCAI Development”, “Consciousness Theory”, “Cognitive Architecture”, “Research Theory”, ] canonical_url: “https://theconsciousness.ai/posts/artificial-consciousness-philosophy/” paper_url: “https://arxiv.org/abs/2011.14475” sitemap: false noindex: true —

How can cognitive architectures inspired by philosophy of mind improve autonomous agents? This paper by Eduardo C. Garrido-Merchán and colleagues presents a global workspace-inspired model integrating attention mechanisms, inner feelings, and preferences.

An Artificial Consciousness Model and Its Relations with Philosophy of Mind, authored by Eduardo C. Garrido-Merchán, Martin Molina, and Francisco M. Mendoza, explores the design of conscious-like agents capable of navigating complex environments.

Key Highlights

  • Global Workspace Model Implements a cognitive architecture inspired by the global workspace theory of consciousness.
  • Attention Mechanisms Introduces an attention system for prioritizing environmental stimuli.
  • Autonomous Navigation Demonstrates the effectiveness of the model in enabling agents to adapt based on inner preferences and past experiences.

Connection to TCAI

The Consciousness AI (TCAI) aligns with this study through:

  • Cognitive Architectures ACM’s use of layered simulations and dynamic environments is complemented by insights into global workspace models.
  • Attention Mechanisms Offers strategies for prioritizing multimodal inputs within ACM’s virtual agents.
  • Adaptability Reinforces the importance of emotional and cognitive integration for adaptive learning.

For a detailed examination of the cognitive architecture and experiments, access the full paper here.

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