Descriptif
The Art of Simulation
In this series of lectures we will explore the use (and misuse) of the concept of simulation in today’s artistic production and critical discourse. We will also investigate how such a notion, once properly defined, can allow a new perspective on a general history of art shifting away from the sole questions of representation and mimetic acts- as it has been abusively treated in modern times - to a much wider approach : the ancient practice of the ‘art of simulation’.
There are two main and conflicting definitions of what a simulation actually is. It can be either considered as an act of « make-believe », a forgery of reality(to simulate pain is to pretend that one is in pain) or it can be approached as the dynamic exploration of possibilities inside a constructed model(as comonly understood in scientific disciplines).
Through a large scope of examples taken from contemporary, modern and ancient forms of art, as well as computational and engineering applications, we will investigate the tension between these two definitions of the concept of simulation and thus explore the consequences of this paradigmatic shift from a ‘represented’ world to a ‘constructed’ world.
This class itself will function as a simulation of some kind, the collective testing of a radical hypothesis : what if we have always been wrong in opposing reality and falsehood, world and representations, what if only simulations are real?
The course will articulate three main lines of inquiry serving as a roadmap for our investigation:
1- “a brief history of simulation” will present multiple examples of the use of simulation in recent and past history of art - starting with the use of computer simulations in contemporary art works and moving upstream in history by exploring how the logic of simulation - although not yet technologically instantiated - has always been at the heart of artistic procedures (from the generative art of the 1960’s to the Ars Memoriae of the Renaissance for instance) .
2- “the simulating species” will focus on a broader theoretical approach of the way the concept of simulation has been used in various disciplines throughout history and the extent to which these uses can serve our attempt to define an ‘art of simulation’
3- “the simulation argument, reversed” will explore Nick Bostrom’s famous argument on the possibility that we are indeed living in a computer simulation and his influence on many actors of the technology sector. We will then attempt a reversal of his argument and the specific metaphysics it carries by speculating on what it would mean for us to be the ‘simulators’ instead of the ‘simulated’.
Assessment :
Students, in groups of 2 or 3, will complete an unsupervised assignment in which they will comment on an artwork involving simulation. This may take the form of a written commentary, a video, a poster, etc.
Fabien Giraud is an artist born in 1980. Since 2007 he has been collaborating with artist and filmmaker Raphael Siboni on a large body of work which has been shown in multiple museums and events internationally (Palais de Tokyo- France, Lyon Biennial-France, Liverpool Biennial-United Kingdom, Mona- Australia, Casino -Luxembourg, Okayma Art Summit-Japan, VAC-Russia, among others).
Diplôme(s) concerné(s)
- MScT-Data Science for Business
- MScT-Economics, Data Analytics and Corporate Finance
- MScT-Economics for Smart Cities and Climate Policy
- MScT-Cybersecurity : Threats and Defenses
- MScT-Environmental Engineering and Sustainability Management
- MScT-Energy Environment : Science Technology & Management
- MScT-Artificial Intelligence and Advanced Visual Computing
- MScT-Internet of Things : Innovation and Management Program (IoT)
Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme MScT-Energy Environment : Science Technology & Management
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Internet of Things : Innovation and Management Program (IoT)
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Data Science for Business
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Environmental Engineering and Sustainability Management
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Economics, Data Analytics and Corporate Finance
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Artificial Intelligence and Advanced Visual Computing
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Economics for Smart Cities and Climate Policy
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Cybersecurity : Threats and Defenses
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.