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

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.

The Possibility of Emotional Robots: Implications for ACM

Can robots ever truly experience emotions? This paper by Godwin Darmanin explores the philosophical and technological challenges of creating emotional robots, evaluating the feasibility of such developments in both the near and distant future.

Is Artificial Consciousness Achievable? Brain-Inspired Approaches

What lessons can the human brain teach us about artificial consciousness? This paper by Michele Farisco and colleagues examines structural and functional features of the brain essential for consciousness and their implications for AI.

From Focused Thoughts to Reveries: ACM's Path to Self-Generated Experiences

How can robots develop an “inner world” for consciousness? This paper by Christian Balkenius, Trond A. Tjøstheim, Birger Johansson, and Peter Gärdenfors provides a roadmap for implementing a computational memory system that enables robots to simulate experiences and learn through cognitive processes.

Emotion Expression in Robots Through Artificial Consciousness

How can robots effectively express emotions? This paper by Atsushi Ogiso and colleagues presents a system where artificial consciousness enables a humanoid robot to display emotions through realistic facial expressions, enhancing human-robot communication.

Emotions in Robot Psychology: Implications for ACM Development

How can robots simulate and utilize emotions effectively? This paper by Verena Nitsch and Martin Popp investigates the role of emotions in robotics, focusing on their impact on human-robot interaction, cognitive processing, and behavioral adaptability.