THE ARTIFICIAL WORLD

2022 ◽  
pp. 131-150
Author(s):  
Joseph Masco
Keyword(s):  
Author(s):  
Jennifer Fay

Postwar American film noir explores an artificial world that does not foster human happiness and growth, but leads to a kind of human incapacity to act and respond. Beyond merely depicting these negative environments, noir lays bare the attachments to bad living and unsustainable striving that underwrite the accumulating culture of the Anthropocene at midcentury. Positioning itself as the genre that critiques postwar peaceful prosperity, noir gives us the characters, places, and scripts for human expiration as the counter to both nuclear survivalism and consumer capitalism. The hospitality of film noir is rental property. Indeed, impermanent dwelling of the individual and humanity as a whole is one of noir’s lessons for the Anthropocene. American noir is an ecological genre that teaches us in the spirit of Roy Scranton’s book how “to die in the Anthropocene.”


Behaviour ◽  
1994 ◽  
Vol 130 (3-4) ◽  
pp. 229-252 ◽  
Author(s):  
Irenaeus J.A. Te Boekhorst ◽  
Paulien Hogeweg

AbstractChimpanzees live in societies that are characterised both by disorder and order. On the one hand, party size fluctuates in a randomlike fashion and party membership is unpredictable ; on the other hand, fundamental party structures are apparent; males are often in all-male parties whereas females remain mostly solitary. The customary sociobiological explanation is based on the assumptions that 1) competition for food favors solitariness (especially in females); 2) chimpanzee males share the costs of territorial defense against rivals from neighbouring communities and 3) genetical relatedness among males within a community compensates for fitness losses due to their competition for food and females. We point to some theoretical flaws in the reasoning that forms the basis of the current neo-Darwinistic model and to the lack of empirical data concerning male relatedness. Most importantly, chimpanzee-like party structures emerge by self-organisation in an artificial "world" in which "CHIMPs" do nothing more than searching for food and mates, without requiring any of the assumptions of the sociobiological model.


2021 ◽  
pp. 096372142110095
Author(s):  
Steven L. Franconeri

The visual system evolved and develops to process the scenes, faces, and objects of the natural world, but people adapt this powerful system to process data within an artificial world of visualizations. To extract patterns in data from these artificial displays, viewers appear to use at least three perceptual tools, including a tool that extracts global statistics, one that extracts shapes within the data, and one that produces sentence-like comparisons. A better understanding of the power, limits, and deployment of these tools would lead to better guidelines for designing effective data displays.


2020 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Adhe Pandhu Dwi Prayogha ◽  
Mudafiq Riyan Pratama

The purpose of virtual reality is to enable a motor and cognitive sensor activity ofsomeone in the artificial world created digitally to become imaginary, symbolic orsimulate certain aspects in the real world [1]. This technology is applied to the mediaintroduction of the solar system using the Luther method. The Luther Method consistsof 6 stages, namely Concept, Design, Material Collecting, Assembly, Testing, andDistribution. Luther method has advantages compared to other methods because thereare stages of material collecting which is an important stage in the development ofmultimedia and this Luther method can be done in parallel or can go back to theprevious stage [2]. At the Assembly stage the implementation uses the Unity Engineand Google VR SDK for Unity, the result is a virtual reality application that can displaythe solar system with 3-dimensional objects and an explanation is available on eachobject. While testing the blackbox on a variety of Android devices with differentspecifications. From the results of the application of the Luther method, it is verystructured and can run well in the development of multimedia applications, while theresults of testing, this Android-based virtual reality application cannot run on devicesthat do not have Gyroscope sensors and can run on devices with a minimumspecification of 1GB RAM will but the rendering process on 3D objects is slow.


Author(s):  
Bo-Suk Yang

This chapter describes a hybrid artificial life optimization algorithm (ALRT) based on emergent colonization to compute the solutions of global function optimization problem. In the ALRT, the emergent colony is a fundamental mechanism to search the optimum solution and can be accomplished through the metabolism, movement and reproduction among artificial organisms which appear at the optimum locations in the artificial world. In this case, the optimum locations mean the optimum solutions in the optimization problem. Hence, the ALRT focuses on the searching for the optimum solution in the location of emergent colonies and can achieve more accurate global optimum. The optimization results using different types of test functions are presented to demonstrate the described approach successfully achieves optimum performance. The algorithm is also applied to the test function optimization and optimum design of short journal bearing as a practical application. The optimized results are compared with those of genetic algorithm and successive quadratic programming to identify the optimizing ability.


2003 ◽  
Vol 15 (2) ◽  
pp. 194-208 ◽  
Author(s):  
Paul den Dulk ◽  
Bram T. Heerebout ◽  
R. Hans Phaf

The evolutionary justification by LeDoux (1996) for his dual-route model of fear processing was analyzed computationally by applying genetic algorithms to artificial neural networks. The evolution was simulated of a neural network controlling an agent that gathered food in an artificial world and that was occasionally menaced by a predator. Connections could not change in the agent's “lifetime,” so there was no learning in the simulations. Only if the smells of food and predator were hard to distinguish and the fitness reflected time pressures in escaping from the predator did the type of dual processing postulated by LeDoux emerge in the surviving agents. Processing in the “quick and dirty” pathway of the fear system ensured avoidance of both predators and food, but a distinction between food and predator was made only in the long pathway. Elaborate processing inhibited the avoidance reaction and reversed it into an approach reaction to food, but strengthened the avoidance reaction to predators (and more finely tuned the direction of escape). It is suggested that “computational neuroethology” (Beer, 1990) may help constrain reasoning in evolutionary psychology, particularly when applied to specific neurobiological models, and in the future may even generate new hypotheses for cognitive neuroscience.


Leonardo ◽  
2001 ◽  
Vol 34 (3) ◽  
pp. 243-248 ◽  
Author(s):  
Palle Dahlstedt ◽  
Mats G. Nordahl

The authors have constructed an artificial world of coevolving communicating agents. The behavior of the agents is described in terms of a simple genetic programming framework, which allows the evolution of foraging behavior and movement in order to reproduce, as well as sonic communication. The sound of the entire world is used as musical raw material for the work. Musically interesting and useful structures are found to emerge.


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