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Non-Human Gaming: Video Games in the Post-Anthropocene

2018· article· en· W2887841565 sur OpenAlexaboutno aff
Paolo Ruffino

Notice bibliographique

RevueLincoln Repository (University of Lincoln) · 2018
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDigital Games and Media
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAnthropoceneComputer scienceVideo gameAstrobiologyMultimediaHuman–computer interactionRemote sensingEnvironmental scienceGeologyPaleontologyBiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In this presentation, I will address the possibility of an imminent mass extinction of all living beings from planet Earth, and the implications of such a catastrophic event for games studies. 
\nThe Anthropocene, a term popularized by the end of the 20th century to refer to the geological impact of human beings on planet Earth, assumes a temporal development, a ‘before’ and ‘after’ the appearance of humankind. The ‘after’ period, known as the Post-Anthropocene, is repeatedly claimed by scientists to be approaching within the next few decades, as over-consumption is destroying vital resources of the planet. Allegedly, the sixth mass extinction in the history of our planet is already unfolding, and might determine the disappearance of life from Earth and, as far as we know, from the Universe and beyond (Zylinska 2014; Wark 2015; Haraway 2016; Thacker 2010).
\nVideo games have been responding to the arrival of the Post-Anthropocene. In recent years, an increasing number of games appear to capture the fascination and creepiness of a world with no humans. This impending future is not just imagined in fictional settings (e.g. The Legenda of Zelda: Majora’s Mask, Nintendo, 2000; Horizon: Zero Dawn, Guerrilla Games, 2017), but within game design. In the last decade an increasing number of video games requiring limited human intervention has been released. Idle games such as Cookie Clicker (Julien Thiennot, 2013) and AdVenture Capitalist (Hyper Hippo Productions, 2014) require an initial input from the player to start, and then keep playing themselves in the background operations of a laptop or smartphone. Virtual environments can be entirely designed by algorithms, as experimented by Hello Games for No Man’s Sky (2016). Artificial Intelligence is also used to play games. Screeps, a massive-multiplayer online game, requires players to program an AI that will play the game in their place, and which will ‘live within the game even while you are offline’ (Screeps Team, 2014). Ghost cars in racing games replace the human actor with a representation of their performance. The same concept is further explored by the Drivatar of the Forza Motorsport series (Microsoft Studios, 2005-2017), which simulates the driving style of the player and competes online against other AI-controlled cars (Bittanti 2015). These are only some of the example that suggest that human beings are becoming peripheral in the act of playing games. The video installation Emissaries, at MoMA PS1, by Ian Cheng (2017), and Twitch streaming of computer-controlled avatars in Grand Theft Auto by Ben Watanabe (San Andreas Deer Cam, 2016; San Andreas Community Cam, 2017) are further investigations in how games could play themselves even after the disappearance of human beings.
\nDrawing on Sonia Fizek’s analysis of the concept of interpassivity in digital games (via the work of Robert Pfaller and Slavoj Zizek), and on studies on gamification and self-tracking, I argue that Non-Human Gaming is not necessarily an exception to oppose to ‘standard’ video games, or a (con)temporary trend (Fizek 2018; Ruffino 2016). The non-human has always been haunting the medium, and studies on interactivity, agency, and player’s skills and competences have been providing, so far, a comforting perspective that places the human at the center, or at an equal hierarchical importance than the machine (Giddings 2005; Björk and Juul 2012). Alexander Galloway imagined how machines could take the lead in the process of enacting a video game, creating ‘ambience acts’ where the game plays itself with no need for the human being to be present (Galloway 2006). Galloway was concerned with the allegories that computer games provide, and the ways in which games mimic the social reality in which we live in. Since 2006, fears of economic, political, social, and geological crises at global level have been prominent. Non-Human gaming can be interpreted as a response to those fears, and put in relation to the rise of self-driving cars, algorithmic trade exchange, and remote warfare, which similarly operate by replacing human beings. In fact, Non-Human Gaming is an adequate response to the disappearance of life from Earth – as it has been imagined, feared, and prophesized by scientists in recent years, and even more insistently since the time of Galloway’s contribution.
\nIn this talk I will attempt to map the broad category of Non-Human gaming. Roger Caillois, in his early work on mimicry and mythology, was already describing how living beings develop forms of dispersal and waste of energy that cannot be explained through a rationalistic view on evolution and preservation, and which bring the organism closer to its own disappearance and assimilation in the surrounding environment, but are nonetheless defining characteristics of life (Caillois 1934; 1935). My concern is to highlight the weirdness and creepiness, the irony and spoofs, the paradoxes and contradictions of video games made by no one and/or for no one. As Haraway’s vision of the cyborg did with cybernetics, Non-Human gaming confuses and complicates the ontologies of digital texts, and could be used to shed light on the situatedness, temporality, and partiality of our knowledge, of both humans and games (Haraway 1991; Kember 2018). Life might be disappearing from Earth at some point, but we are not there yet. We are in-between birth and death, the beginning and the end, and we have always been. Non-Human gaming helps us articulating this space and time in-between, and has the potential to re-route gaming (and game studies) from false myths of agency, interactivity, and instrumentalism (the ‘games for’ health, education, self-improvement, and so on). Non-human games are companions for earthly survival.
\n 
\nBIBLIOGRAPHY
\nBittanti, M. (2015) Orizzonti di Forza: Fenomenologia della Guida Videoludica, Edizioni Unicopli
\nBjörk, S. and Juul, J. (2012) ‘Zero-Player Games, or: What We Talk About When We Talk About Players’, presented at the Philosophy of Computer Games Conference, Madrid 2012
\nCaillois, R. (1934) [2014] ‘The Praying Mantis: from Biology to Psychoanalysis’, in The Edge of Surrealism: A Roger Caillois Reader, Durkham: Duke University Press
\nCaillois, R. (1935) [1984] ‘Mimicry and Legendary Psychastenia’, in October (31), Cambridge (MA): The MIT Press
\nFizek, S. (2018) ‘Interpassivity and the Joy of Delegated Play’. ToDiGRA Journal (to be published).
\nGalloway, A. (2006) Gaming: Essays on Algorithmic Culture. Minneapolis (MN): University of Minnesota Press.
\nGiddings, S. (2005) Playing with non-humans: digital games as technocultural form. In: Proceedings of DiGRA 2005 Conference: Changing Views - Worlds in Play, Vancouver, British Columbia, Canada, 16-20 June 2005.
\nHaraway, D. J. (1991) Simians, Cyborgs and Women. The Reinvention of Nature. London: Free Association Books.
\nHaraway, D. J. (2016) Staying with the Trouble: Making Kin in the Chthulucene, Duke University Press
\nKember, S. (2017) ‘After the Anthropocene: the photographic for earthly survival?’ in Digital Creativity, vol. 28, no. 4, pp. 348-353
\nRuffino, P. (2016) ‘Games to Live With: Speculations Regarding NikeFuel’ in Digital Culture and Society, vol. 2, no. 1, pp. 153-`159 
\nThacker, E. (2010) After Life, London and Chicago: Chicago University Press
\nWark, M. (2015) Molecular Red. Theory for the Anthropocence. London: Verso.
\nZylinska, J. (2014) Minimal Ethics for the Anthropocene. Michigan (MA): Open Humanities Press

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,671
Score d'incertitude au seuil0,823

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,002
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,271
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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