Results 251 to 260 of about 95,995 (294)
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Liminal Tones: Swarm Aesthetics and Materiality in Sound Art

2021
The application of swarm aesthetic in music composition is not new. Artistic swarm application has resulted in complex soundscapes and musical compositions. However, sound composition using physical swarm agents has not been extensively studied. Using an experimental approach, we create a series of sound textures know as Liminal Tones (B/Rain Dream ...
Mahsoo Salimi, Philippe Pasquier
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Wax, Wings, and Swarms: Insects and Their Products as Art Media

Annual Review of Entomology, 2022
Every facet of human culture is in some way affected by our abundant, diverse insect neighbors. Our relationship with insects has been on display throughout the history of art, sometimes explicitly but frequently in inconspicuous ways. This is because artists can depict insects overtly, but they can also allude to insects conceptually or use insect ...
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Choeur Synthétique: An Art Installation Based on Swarm Robotics

2022
A robot swarm is a self-organising system in which a global cooperative response emerges from the local interactions between the robots and their social and physical environment. This paper describes an art-science collaboration project called “Choeur Synthétique”, a swarm robotics based artwork in which acoustic patters emerge from the behaviour of ...
Muhanad Alkilabi   +8 more
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Swarm of agents for guarding an Art Gallery: A computational study

2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016
The Art Gallery Problem (AGP) is one of the classic problems in Computational Geometry. For a given art gallery, represented by a polygon, the AGP seeks for the minimum number of guards that are necessary for overseeing the entire polygon. Many variants of this problems have already been studied.
Moeini, Mahdi   +2 more
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Evolutionary and Swarm Design in Science, Art, and Music

2007
Evolutionary Design Evolutionary design can take many forms. In this chapter, we describe how different evolutionary techniques — such as genetic programming and evolution strategies — can be applied to a wide variety of nature-inspired designs. We will show how techniques of interactive evolutionary breeding can facilitate the creative processes of ...
Christian Jacob, Gerald Hushlak
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Swarm art with KANTS: Using an ant clustering algorithm for generating abstract paintings

2012 IEEE International Conference on Complex Systems (ICCS), 2012
This paper describes an ant-based clustering algorithms and suggests its application as a swarm art conceptual tool. The algorithm, called KANTS, consists on a set of equations that model the local behavior of simple units (ants) that represent data samples.
Carlos M. Fernandes   +3 more
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The evolution of swarm grammars- growing trees, crafting art, and bottom-up design

IEEE Computational Intelligence Magazine, 2009
We presented swarm grammars as an extension of Lindenmayer systems. Instead of applying a single ('turtle') agent to convert linear strings into 3D structures, we use a swarm of agents "which navigate in 3D space and-as a side effect-place structural building blocks into their environment.
Sebastian Von Mammen, Christian Jacob
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Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization

2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018
Potentials in Topological Kernel Bayesian Adaptive Resonance Theory (TKBA) are advocated by the data specific parameters: kernel bandwidth $\sigma _{cim}$ in correntropy induced metric (CIM) and kernel bandwidth $\sigma_{kbr}$ in kernel Bayes’ rule (KBR).
Gin Chong Lee   +2 more
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A Novel Intelligent Modern Art Design Method Based on Particle Swarm Optimization

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS), 2018
As is well known that traditional cultural elements play an important role in the modern art design. In this paper, we demonstrate on how to effectively use traditional cultural elements in modern art design with Particle Swarm Optimization (PSO).
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Swarm-Based Approach to Path Planning Using Honey-Bees Mating Algorithm and ART Neural Network

Solid State Phenomena, 2009
In this paper, an integration of Honey bees mating algorithm (HBMA) and adaptive resonance theory neural network (ART1) for efficient path planning of a mobile robot in a static environment is presented. The robot must find shortest route from given origin to the target position. Moreover, it should be able to memorize the environment and, if it faces
Ćurković, Petar   +2 more
openaire   +1 more source

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