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

Natural and Artificial Consciousness: MacLennan's Framework

What role can consciousness play in autonomous robots? This paper by Bruce J. MacLennan explores functions of consciousness, including deliberate control, self-awareness, and metacognition, while addressing the “Hard Problem” of subjective awareness in robots from the perspective of protophenomena theory.

The Hard Problem of Robot Consciousness: ACM Perspectives

What are the philosophical and functional challenges of consciousness in robots? This paper by Bruce J. MacLennan examines the role of consciousness in autonomous robots, discussing the “less hard” problems like self-awareness and intrinsic intentionality, and delving into the “Hard Problem” of subjective experience.

Consciousness in AI: Insights from Science of Consciousness

Can current AI systems be considered conscious? This paper by Patrick Butlin and colleagues examines the possibility through neuroscientific theories of consciousness and computational indicators.

Requirements for Conscious AI Development: A Theoretical Framework

What are the requirements for AI to develop consciousness? This paper by Hadi Esmaeilzadeh and Reza Vaezi explores the theoretical conditions for the emergence of conscious AI, including metathinking, empathy, and creativity akin to human self-awareness.

Computational Models of Consciousness-Emotion Interactions in Robotics

How can robots integrate consciousness and emotions to improve human-robot interaction? This paper by Remigiusz Szczepanowski and colleagues explores computational frameworks for modeling consciousness-emotion (C-E) interactions, drawing insights from neurobiology and machine consciousness to inform social robotics.

Achieving Mirror Image Cognition in Robots: Implications for ACM

How can robots achieve self-awareness? This paper by Junichi Takeno explores the development of a robot capable of 100% mirror image cognition, marking a significant milestone in robotic consciousness through advanced neural architectures.

Perceiving the Unknown: Robot Consciousness Through MoNAD

How can robots perceive and respond to unknown phenomena? This paper by Junichi Takeno and Soichiro Akimoto explores the development of a robot capable of detecting non-experienced conditions and expressing emotions like discomfort and pain, termed “pain of the heart.”

Advanced Cognitive Architecture for Robot Self-Consciousness

How can robots develop self-consciousness? This paper by Antonio Chella, Marcello Frixione, and Salvatore Gaglio introduces a cognitive architecture enabling robots to reflect on their own perceptions, actions, and inner states, facilitating self-awareness and introspection.

Cognitive Approaches to Robot Self-Consciousness: Implications for ACM

How can robots achieve self-consciousness? This paper by Antonio Chella and Salvatore Gaglio presents a hierarchical cognitive model that allows robots to reflect on their own perceptions, actions, and inner states, laying the groundwork for artificial self-consciousness.

ACM and Bach's Approach: A Comparative Analysis

The Artificial Consciousness Module (ACM) project and Joscha Bach’s vision for synthetic consciousness share foundational goals but diverge significantly in philosophical underpinnings and implementation strategies. As an open-source project, ACM invites contributions from researchers and enthusiasts worldwide through its GitHub repository, accessible for forking or cloning. Contributors should review the License to align with its collaborative and ethical framework.