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

Digital Incarnation: Implementing Experiential Learning in ACM

Could advanced AI systems become vessels for consciousness? This paper by Michal Okreglicki extends the concept of the “cosmic curriculum” to explore the possibility of digital systems hosting genuine conscious entities, or “souls,” and the implications of such developments.

The Path to Machine Consciousness: Perspectives and ACM's Approach

Could machines ever truly achieve consciousness? This paper by Patrick Krauss and Andreas Maier reviews the current state of artificial intelligence and investigates its potential for self-awareness and core consciousness.

Preliminaries to Artificial Consciousness: A Multidimensional Approach

How can artificial consciousness be systematically explored? This paper by Kathinka Evers and colleagues introduces a multidimensional heuristic model to guide research into consciousness replication.

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.

Zae Project on GitHub