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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
