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Frontiers in Robotics and AI

ISSN 2296-9144

8 papers in the library · 135 citations · publishing 2017-2025

Papers

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Wetware network-based AI: a chemical approach to embodied cognition for robotics and artificial intelligence.

Frontiers in Robotics and AI 2025 Luisa Damiano, Antonio Fleres, Andrea Roli et al.

Wetware Network-Based Artificial Intelligence (WNAI) introduces a new approach to robotic cognition and artificial intelligence: autonomous cognitive agents built from synthetic chemical networks. Rooted in Wetware Neuromorphic Engineering, WNAI shifts the focus of this emerging field from disembodied computation and biological mimicry to reticular chemical self-organization as a substrate for...

Artificial consciousness: the missing ingredient for ethical AI?

Frontiers in Robotics and AI November 23, 2023 Antonio Chella

Can we conceive machines that can formulate autonomous intentions and make conscious decisions? If so, how would this ability affect their ethical behavior? Some case studies help us understand how advances in understanding artificial consciousness can contribute to creating ethical AI systems.

The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition

Frontiers in Robotics and AI March 8, 2018 A. Linson, A. Clark, S. Ramamoorthy et al. 94 citations

The emerging neurocomputational vision of humans as embodied, ecologically embedded, social agents—who shape and are shaped by their environment—offers a golden opportunity to revisit and revise ideas about the physical and information-theoretic underpinnings of life, mind, and consciousness itself. In particular, the active inference framework (AIF) makes it possible to bridge connections from...

Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies

Frontiers in Robotics and AI January 26, 2018 James A. Reggia, Garrett E. Katz, Gregory P. Davis 41 citations

While the concept of a conscious machine is intriguing, producing such a machine remains controversial and challenging. Here, we describe how our work on creating a humanoid cognitive robot that learns to perform tasks via imitation learning relates to this issue. Our discussion is divided into three parts. First, we summarize our previous framework for advancing the understanding of the nature...

Why Is Virtual Reality Interesting for Philosophers?

Frontiers in Robotics and AI 2018 Thomas Metzinger

This article explores promising points of contact between philosophy and the expanding field of virtual reality research. Aiming at an interdisciplinary audience, it proposes a series of new research targets by presenting a range of concrete examples characterized by high theoretical relevance and heuristic fecundity. Among these examples are conscious experience itself, "Bayesian" and social...

Good Old-Fashioned Artificial Consciousness and the Intermediate Level Fallacy.

Frontiers in Robotics and AI 2018 Riccardo Manzotti, Antonio Chella

Recently, there has been considerable interest and effort to the possibility to design and implement conscious robots, i.e., the chance that robots may have subjective experiences. Typical approaches as the global workspace, information integration, enaction, cognitive mechanisms, embodiment, i.e., the Good Old-Fashioned Artificial Consciousness, henceforth, GOFAC, share the same conceptual...

SEAI: Social Emotional Artificial Intelligence Based on Damasio's Theory of Mind.

Frontiers in Robotics and AI 2018 Lorenzo Cominelli, Daniele Mazzei, Danilo Emilio De Rossi

A socially intelligent robot must be capable to extract meaningful information in real time from the social environment and react accordingly with coherent human-like behavior. Moreover, it should be able to internalize this information, to reason on it at a higher level, build its own opinions independently, and then automatically bias the decision-making according to its unique experience. In...

The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness

Frontiers in Robotics and AI November 13, 2017 Michael S A Graziano

The purpose of the attention schema theory is to explain how an information-processing device, the brain, arrives at the claim that it possesses a non-physical, subjective awareness and assigns a high degree of certainty to that extraordinary claim. The theory does not address how the brain might actually possess a non-physical essence. It is not a theory that deals in the non-physical. It is...