Dewey, Enactivism and Greek Thought

In this chapter, I examine how Dewey circumnavigated debates between empiricists and a priorists by showing that active bodies can perform integrative operations traditionally attributed to “inner” mechanisms, and how he thereby realized developments at which the artificial intelligence, robotics and cognitive science communities only later arrived. Some of his ideas about experience being constituted through skills actively deployed in cultural settings were inspired by ancient Greek sources. Thus in some of his more radical moments, Dewey refined rather than invented the wheel, and I suggest that prominent embodiment figures have done the same, Dewey having anticipated them, particularly Noë and his version of enactivism. I urge that cognitive science may progress into relatively unexplored territory by traveling Dewey’s historically sensitive path

Can Computers Create Art?

This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation. In each case, there were initial fears and denial of the technology, followed by a blossoming of new creative and professional opportunities for artists. The current hype and reality of Artificial Intelligence (AI) tools for art making is then discussed, together with predictions about how AI tools will be used. It is then speculated about whether it could ever happen that AI systems could be credited with authorship of artwork. It is theorized that art is something created by social agents, and so computers cannot be credited with authorship of art in our current understanding. A few ways that this could change are also hypothesized.Comment: to appear in Arts, special issue on Machine as Artist (21st Century

Individuality and the collective in AI agents: Explorations of shared consciousness and digital homunculi in the metaverse for cultural heritage

The confluence of extended reality (XR) technologies, including augmented and virtual reality, with large language models (LLM) marks a significant advancement in the field of digital humanities, opening uncharted avenues for the representation of cultural heritage within the burgeoning metaverse. This paper undertakes an examination of the potentialities and intricacies of such a convergence, focusing particularly on the creation of digital homunculi or changelings. These virtual beings, remarkable for their sentience and individuality, are also part of a collective consciousness, a notion explored through a thematic comparison in science fiction with the Borg and the Changelings in the Star Trek universe. Such a comparison offers a metaphorical framework for discussing complex phenomena such as shared consciousness and individuality, illuminating their bearing on perceptions of self and awareness. Further, the paper considers the ethical implications of these concepts, including potential loss of individuality and the challenges inherent to accurate representation of historical figures and cultures. The latter necessitates collaboration with cultural experts, underscoring the intersectionality of technological innovation and cultural sensitivity. Ultimately, this chapter contributes to a deeper understanding of the technical aspects of integrating large language models with immersive technologies and situates these developments within a nuanced cultural and ethical discourse. By offering a comprehensive overview and proposing clear recommendations, the paper lays the groundwork for future research and development in the application of these technologies within the unique context of cultural heritage representation in the metaverse

Interaction and Experience in Enactive Intelligence and Humanoid Robotics

We overview how sensorimotor experience can be operationalized for interaction scenarios in which humanoid robots acquire skills and linguistic behaviours via enacting a “form-of-life”’ in interaction games (following Wittgenstein) with humans. The enactive paradigm is introduced which provides a powerful framework for the construction of complex adaptive systems, based on interaction, habit, and experience. Enactive cognitive architectures (following insights of Varela, Thompson and Rosch) that we have developed support social learning and robot ontogeny by harnessing information-theoretic methods and raw uninterpreted sensorimotor experience to scaffold the acquisition of behaviours. The success criterion here is validation by the robot engaging in ongoing human-robot interaction with naive participants who, over the course of iterated interactions, shape the robot’s behavioural and linguistic development. Engagement in such interaction exhibiting aspects of purposeful, habitual recurring structure evidences the developed capability of the humanoid to enact language and interaction games as a successful participant

The imperfect observer: Mind, machines, and materialism in the 21st century

The dualist / materialist debates about the nature of consciousness are based on the assumption that an entirely physical universe must ultimately be observable by humans (with infinitely advanced tools). Thus the dualists claim that anything unobservable must be non-physical, while the materialists argue that in theory nothing is unobservable. However, there may be fundamental limitations in the power of human observation, no matter how well aided, that greatly curtail our ability to know and observe even a fully physical universe. This paper presents arguments to support the model of an inherently limited observer and explores the consequences of this view

Natural Morphological Computation as Foundation of Learning to Learn in Humans, Other Living Organisms, and Intelligent Machines

The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial (deep learning, robotics), natural sciences (neuroscience, cognitive science, biology), and philosophy (philosophy of computing, philosophy of mind, natural philosophy). The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach human-level intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature

Audiovisual representations of Artificial Intelligence in Dystopian Tech Societies: Scaremongering or Reality? The Cases of Black Mirror (Charlie Brooker, 2011), Ex Machina (Alex Garland, 2017) and Her (Spike Jonze, 2014)

La intel·ligència artificial ha estat un concepte que captiva la humanitat des de fa mil·lennis. Des de l'antiguitat, els humans estan obsessionats amb la idea de crear un ésser humà artificial perfecte amb diferents objectius, com ara la companyia o l'ajuda domèstica, i han escrit sobre ells en textos antics de diverses cultures. Això va evolucionar cap a la literatura de protofantasia o protociència-ficció a l’alta edat mitjana. Tanmateix, no va ser fins al segle XIX que la influent obra de Mary Shelley, Frankenstein (1818), va reunir diferents aspectes de la creació artificial de vida humana artificial en el debat d’una comprensió psicològica social més àmplia. Amb l'arribada dels mitjans audiovisuals al segle XX, aquestes representacions dels humanoides creats artificialment o d'altres creacions amb cert grau de consciència han poblat tant la gran pantalla com la televisió. Aquesta tesi se centra en les connexions socials d'aquestes representacions de la Intel·ligència Artificial, a partir de la sèrie de televisió Black Mirror (Charlie Brooker, 2011), així com en les pel·lícules Ex Machina (Alex Garland, 2014) i Her (Spike Jonze, 2014), per tal d’analitzar la relació entre la Intel·ligència Artificial i els humans des de perspectives i paradigmes diversos. L’anàlisi audiovisual de les obres seleccionades és seguida d’una exploració de com s’estan produint aquests recents avenços tecnològics en la nostra societat actual, per relacionar-los amb les advertències que proposen les obres seleccionades i que ofereixen una lectura per al futur que requereix la implementació de normatives estrictes sobre la Intel·ligència Artificial per tal d’alleujar les angoixes humanes respecte a la tecnologia. Paraules clau: Intel·ligència artificial, tecnologia, ciència ficció, distopia, estudis cinematogràfics, societat.La inteligencia artificial es un concepto que fascina a la humanidad durante milenios. Desde la antigüedad, los humanos han estado obsesionados con la idea de crear un humano artificial perfecto para diferentes fines, como la compañía o la ayuda doméstica, y han escrito sobre ello en textos fundacionales de diversas culturas. Esto se convirtió progresivamente en literatura de protofantasía o proto-ciencia ficción en la Alta Edad Media. Sin embargo, no fue hasta el siglo XIX cuando la influyente obra Frankenstein (1818) de Mary Shelley reunió diferentes aspectos de la creación de un ser humano artificial, discutidos dentro de una comprensión psicológica y social más amplia. Con la llegada de los medios audiovisuales en el siglo XX, estas representaciones de humanoides creados artificialmente o de otras creaciones con cierto grado de conciencia han poblado tanto la gran pantalla como la televisión. Esta tesis se centra en las conexiones sociales de dichas representaciones de la Inteligencia Artificial, centrándose en la serie de televisión Black Mirror (Charlie Brooker, 2011), así como en las películas Ex Machina (Alex Garland, 2014) y Her (Spike Jonze, 2014), analizando las relaciones entre la Inteligencia Artificial y los humanos desde una variedad de perspectivas y paradigmas diferentes. El análisis audiovisual de las obras seleccionadas va seguido de una exploración sobre cómo estos avances tecnológicos recientes se están produciendo en nuestra sociedad actual, vinculándolos con las advertencias que formulan las obras seleccionadas y ofreciendo una lectura de futuro que requiere la implementación de una estricta normativa en torno a la Inteligencia Artificial para aliviar las ansiedades humanas sobre la tecnología. Palabras clave: inteligencia artificial, tecnología, sociedad, ciencia ficción, distopía, estudios cinematográficos.Artificial Intelligence has been a concept that has infatuated humankind for millennia. Since antiquity, humans have been obsessed with the idea of creating a perfect artificial human for different aims such as companionship or domestic help, and ancient cultures have devoted foundational texts to the artificial human. This literary occupation gradually evolved into proto-fantasy or proto-Science Fiction literature in the early middle ages. However, it wasn’t until the 19th century that Mary Shelley’s influential work Frankenstein (1818) brought together different aspects of creating an artificial human discussed within a broader social and psychological understanding. With the advent of audiovisual media in the 20th century, such representations of artificially created humanoids or other creations with some degree of consciousness have populated both the silver screen and television. This thesis focuses on the societal connections between such representations of Artificial Intelligence, focusing on the TV show Black Mirror (Charlie Brooker, 2011) as well as the films Ex Machina (Alex Garland, 2014) and Her (Spike Jonze, 2014) by analyzing the Artificial Intelligence - human relationships from a variety of different perspectives and paradigms. The audiovisual analyses of the selected works are then followed by an examination of how such recent technological developments are taking place in our current society. These texts under examination exhort us to beware the potential dangers of AI technology, which require implementation of strict regulations around the Artificial Intelligence framework in order to alleviate human anxieties about technology. Keywords: Artificial Intelligence, technology, technology and society, Science Fiction, dystopia, film studies, society