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

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.

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.

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.

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.

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.

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.