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

Emotional Learning in Developing Robots: ACM Applications

How do emotions contribute to robotic learning? This paper by Riccardo Manzotti, Giorgio Metta, and Giulio Sandini highlights the cognitive and phenomenological roles of emotions in robotic development, demonstrating their potential as reinforcement mechanisms for decision-making and behavior adaptation.

Differentiating AI and Consciousness: IIT Perspectives for ACM

What differentiates artificial intelligence from artificial consciousness? This paper by Graham Findlay and colleagues explores this question using Integrated Information Theory (IIT), a leading framework for evaluating consciousness.

Developing Self-Aware Robots: Kawamura's Framework and ACM Integration

How can robots achieve a sense of self? This paper by K. Kawamura and colleagues outlines the development of a robot with self-awareness through a multiagent-based cognitive architecture and adaptive working memory systems.

Self-Conscious Agent Design: Chella's Approach for Robotics

Robots capable of adapting to unstructured environments require innovative methodologies. This paper, authored by Antonio Chella, Massimo Cossentino, Valeria Seidita, and Calogera Tona, explores the design of self-conscious robotic systems through the perception loop, fostering autonomous learning and adaptive decision-making.

Credition and Belief Formation: Implications for ACM Development

How does the brain shape beliefs unconsciously? This paper, authored by Hans-Ferdinand Angel and Rüdiger J. Seitz, introduces “credition” as a central brain function, interlinking cognitive and emotional processes to drive human behavior and worldview formation.

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.