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

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.

MARCOS and ACM: Comparing Approaches to Machine Consciousness

How can consciousness-inspired frameworks enhance robotic autonomy? This paper by Daniela López De Luise and colleagues introduces MARCOS (Movement of Autonomous Robotics Codelet System), a robotic consciousness model designed to support adaptive indoor navigation and decision-making.

Emotional Learning in Robots: Detection and Adaptation Systems

How can robots detect and learn from the unknown? This paper by Kyohei Kushiro, Yuhei Harada, and Junichi Takeno introduces a cognitive architecture where emotions enable robots to identify novel information and adapt through autonomous learning.

Review: Conscious Robots Development and ACM Implementation

Can conscious robots be built? This paper by Lyle N. Long and Troy D. Kelley examines the intersection of philosophy, neuroscience, and engineering to evaluate the possibility of constructing robots with consciousness and outlines preliminary architectural requirements for such systems.

Research on Self-Aware Robots: Mirror Cognition Studies

How can robots develop self-awareness? This paper by Takashi Komatsu and Junichi Takeno explores the implementation of self-consciousness in robots through experiments on mirror image cognition, focusing on their ability to distinguish themselves from their environment and others.

Probing Machine Consciousness: Core Development Methods

How can machines develop core consciousness? This paper by Mathis Immertreu and colleagues investigates Antonio Damasio’s framework for consciousness to explore rudimentary self- and world-models in AI agents.