ACM Project - Artificial Consciousness Research Developing Artificial Consciousness Through Emotional Learning of AI systems

Neuromorphic Correlates of Artificial Consciousness in ACM

How can neuromorphic design contribute to artificial consciousness? This paper by Anwaar Ulhaq proposes the Neuromorphic Correlates of Artificial Consciousness (NCAC), a framework inspired by the neural correlates of consciousness (NCC) in neuroscience.

Deep Learning Approaches to Machine Consciousness in ACM

How can advanced machine learning techniques contribute to machine consciousness? This paper by Eduardo C. Garrido-Merchán and Martín Molina introduces a cognitive architecture combining deep learning and Gaussian processes for conscious-like behaviors.

Philosophy of Artificial Consciousness: ACM's Theoretical Framework

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.

The Problem with AI Consciousness: Neurogenetic Analysis

Can AI truly achieve sentience? This paper by Yoshija Walter and Lukas Zbinden challenges the plausibility of synthetic sentience, arguing that biological neuron physiology and structural organization are prerequisites for true consciousness.

Language Agents and Global Workspace Theory in AI Consciousness

Could language agents already possess phenomenal consciousness? This paper by Simon Goldstein and Cameron Domenico Kirk-Giannini examines this question using Global Workspace Theory (GWT), arguing that language agents might already meet the necessary conditions.

AI Consciousness Inevitability: A Computer Science Perspective

Is AI consciousness inevitable? This paper by Lenore Blum and Manuel Blum argues for the inevitability of machine consciousness, presenting a formal model inspired by Turing’s computation theory and Baars’ Global Workspace Theory.

Agnosticism in Artificial Consciousness Development: A Scientific Perspective

Can we determine whether AI is conscious? This paper by Tom McClell advocates for evidentialism, arguing that scientific evidence is essential to assess the potential for artificial consciousness and cautioning against speculative claims.

Building Conscious Minds: Navon's Framework and ACM Implementation

What does it take to create a conscious mind? This paper by Mois Navon provides a foundational exploration of consciousness, blending theology and science to examine the challenges of creating artificial minds and their alignment with human cognition.

Emotional Bonds in AI: From Robot Love to ACM's Emotional Intelligence

Enhancing human-robot interaction requires innovative approaches to robot consciousness. In this paper, Adamantios Koumpis, Maria Christoforaki, and Siegfried Handschuh extend the MARIO project’s findings to propose models for empathy-driven and adaptive robotic systems.

The Edge of Chaos: Where Consciousness Manifests in AI Systems

How does consciousness emerge in the brain? This paper by Valeriy Sbitnev explores the idea that consciousness arises at the edge of chaos, where neural dynamics exhibit a balance between order and randomness, supported by intermittent activity in excitable nervous tissue.