scholarly journals Τεχνητά Συστήματα Εικαστικής Παραγωγής: Συναρμογή, Αυτονομία και Δημιουργικότητα

Author(s):  
Στέλλα Σοφοκλέους
Keyword(s):  

Τις τελευταίες δεκαετίες, στο πεδίο της θεωρίας της τέχνης, γίνεται προσπάθειααφομοίωσης και χαρτογράφησης μιας αναδυόμενης τάσης καλλιτεχνικής παραγωγής, η οποία σχετίζεται με την ικανότητα τεχνητών συστημάτων και αλγορίθμων να δημιουργούν έργα τέχνης με μια σχετική αυτονομία. Στην προοπτική ύπαρξης εξ ολοκλήρου αυτόνομων συστημάτων καλλιτεχνικής δημιουργίας στο εγγύς μέλλον, η παρούσα εργασία επιχειρεί να θέσει υπό αμφισβήτηση την εξήγηση της τεχνητής δημιουργικότητας της παραγωγικής τέχνης (generative art) μέσω του ανθρωποκεντρικού παραδείγματος. Μέσω της παρατήρησης μεταμοντέρνων και σύγχρονων εικαστικών projects, η ανάλυση φανερώνει πως η φύση της αλληλεπίδρασης των καλλιτεχνών/προγραμματιστών με τα τεχνητά συστήματα εικαστικής παραγωγής, οδηγεί σε μια γόνιμη κατανόηση έμβιων και άβιων δημιουργικών δρώντων στο πλαίσιο μιας συναρμογής (assemblage), με στόχο την από κοινού εξερεύνηση νέων δυνατοτήτων καλλιτεχνικής δημιουργίας. Το δεύτερο μέρος, διερευνά κατά πόσο η ακαμψία που χαρακτηρίζει του αλγόριθμους μετριάζεται μέσω της ανάδειξης των λιγότερο γνωστών πτυχών της συμπεριφοράς τους και εάν οι πτυχές αυτές δύνανται να αποτελέσουν δίοδο προς την οντολογική εξερεύνηση της τεχνητής δημιουργικότητας. Υπό ένα μεθοδολογικό πρίσμα, η συζήτηση καταδεικνύει την ανάγκη συγκρότησης ενός θεωρητικού πλαισίου το οποίο θα απομακρύνει την εν λόγω τάση από την τεχνολογική μεθόριο στην οποία βρισκόταν καθηλωμένη για χρόνια και θα επιτρέψει την ένταξή της στην εξελικτική αλυσίδα του τεχνοϊστορικού αφηγήματος.

Leonardo ◽  
2016 ◽  
Vol 49 (3) ◽  
pp. 251-256 ◽  
Author(s):  
Penousal Machado ◽  
Tiago Martins ◽  
Hugo Amaro ◽  
Pedro H. Abreu

Photogrowth is a creativity support tool for the creation of nonphotorealistic renderings of images. The authors discuss its evolution from a generative art application to an interactive evolutionary art tool and finally into a meta-level interactive art system in which users express their artistic intentions through the design of a fitness function. The authors explore the impact of these changes on the sense of authorship, highlighting the range of imagery that can be produced by the system.


2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Paulina Tarara
Keyword(s):  

W pierwszej części artykułu przedstawię definicję oraz początki sztuki generatywnej (generative art) na przykładzie AARONa Harolda Cohena i Malującego Błazna Simona Coltona. W drugiej części opiszę współczesne dążenia w sztuce generatywnej na przykładzie maszyny imitującej Rembrandta oraz sieci przeciwstawnej Elgamalla.


2021 ◽  
pp. 41-50
Author(s):  
Asmati Chibalashvili

The article considers methods of involving artificial intelligence in artistic practices. Based on the analysis of ways to use this technology in visual arts and music, the basic principles of working with artificial intelligence technology are identified, including: imitation of historical art, implemented in projects The Next Rembrandt and Choral; generative art, which is found in the works “Hyperbolic Composition І” and “Hyperbolic Composition ІІ” of S. Eaton and also in the AIVA program (Artificial Intelligence Virtual Artist). The importance of the mechanisms of neurobiology in the process of working with artificial intelligence on the example of the project “Neural Zoo” of S. Crespo, Iamus program, in which the development of musical material is based on the principle of evolution, is stated. In the application Endel and in the opera “Emotionally intelligent” Artificially Intelligent Brainwave Opera» of E. Perlman, a neural network is used to read information about the human condition and its further processing for modification into a sound landscape or image. The development of artificial intelligence and its use in artistic practices opens up new opportunities, expanding both the field of authors of artistic content and attracting new audience. This phenomenon provokes many issues, including: the ability to think artificially of artificial intelligence, the ability to create works of art without human intervention, as well as issues related to copyright.


2012 ◽  
Vol 3 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Stefan Bornhofen ◽  
Vincent Gardeux ◽  
Andréa Machizaud

Swarm intelligence deals with the study of collectively intelligent behavior that emerges from a decentralized system of non-intelligent individual agents. The concept is widely used in the fields of simulation, optimization or robotics, but less known in the domain of generative art. This paper presents the swarm paradigm in the context of artistic creation, and more particularly explores the interest of enhancing swarm models with dynamics inspired from natural ecosystems. The authors introduce an energy budget to the agents of a swarm system, and show how mapping the energy level to visual information such as line width or color, combined with mechanisms such as resource chasing and consumption, enriches the search space of possible images. Moreover, the authors highlight that the approach allows the user to partially control the creation process of the drawings. The authors argue that the exploration of ecosystem dynamics in generative systems may open up novel artistic opportunities and shift the perspective from swarm art toward ecosystem art.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Adrian Carballal ◽  
Carlos Fernandez-Lozano ◽  
Nereida Rodriguez-Fernandez ◽  
Luz Castro ◽  
Antonino Santos

An important topic in evolutionary art is the development of systems that can mimic the aesthetics decisions made by human begins, e.g., fitness evaluations made by humans using interactive evolution in generative art. This paper focuses on the analysis of several datasets used for aesthetic prediction based on ratings from photography websites and psychological experiments. Since these datasets present problems, we proposed a new dataset that is a subset of DPChallenge.com. Subsequently, three different evaluation methods were considered, one derived from the ratings available at DPChallenge.com and two obtained under experimental conditions related to the aesthetics and quality of images. We observed different criteria in the DPChallenge.com ratings, which had more to do with the photographic quality than with the aesthetic value. Finally, we explored learning systems other than state-of-the-art ones, in order to predict these three values. The obtained results were similar to those using state-of-the-art procedures.


Leonardo ◽  
2002 ◽  
Vol 35 (3) ◽  
pp. 291-294 ◽  
Author(s):  
Celestino Soddu

In the field of generative art and design, design concepts are represented as code. This generative code functions as DNA does in nature. It uses artificial life to generate a multiplicity of possible artworks, artificial events, architectures and virtual environments. In the generative approach the real artwork is not merely a product, such as an image or 3D model. The generative artwork is an Idea-Product. It represents an artificial species able to generate an endless sequence of individual events, each one different, unique and unrepeatable but belonging to the same identifiable design Idea. The author's project, Argenia, realizes the “new naturality” of artificial objects.


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