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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

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An incomplete gallery: machines, cognition, and nonlinearities.

Luigi Fortuna¹, Mattia Frasca

¹Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Università degli Studi di Catania, viale A. Doria 6, 95125, Catania, Italy. lfortuna@diees.unict.it

Cognitive Processing

|November 7, 2008

Summary

This study explores the limits of artificial machine cognitive processing, presenting laboratory images to illustrate current capabilities and the ongoing challenges in defining machine cognition. Further research is needed to fully understand artificial intelligence development.

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Area of Science:

Artificial Intelligence
Cognitive Science
Machine Learning

Background:

The question of how far artificial machine cognitive processing can advance remains a significant and unresolved challenge in AI research.
Existing definitions of cognitive processing in machines are often incomplete, hindering progress and clear evaluation.

Purpose of the Study:

To discuss key issues surrounding the potential development of cognitive processing in artificial machines.
To present a curated selection of images from laboratory experiments to visually represent current AI capabilities.

Main Methods:

Discussion of theoretical issues in artificial cognitive processing.
Presentation of a gallery of images from laboratory experiments illustrating AI development.

Main Results:

The presented image gallery highlights the current state and limitations of artificial cognitive processing.
The study acknowledges the incompleteness of current definitions for machine cognitive processing.

Conclusions:

The development of cognitive processing in artificial machines faces ongoing challenges, particularly in defining and measuring 'cognition'.
Further research and clearer definitions are essential to advance the field of artificial intelligence and machine cognition.