Article
Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity
This paper revisits the receptive theory in the context of computational creativity. It presents a case study of a Paranoid Transformer—a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona without any additional human post-filtering. We describe technical details of the generative system, provide examples of output, and discuss the impact of receptive theory, chance discovery, and simulation of fringe mental state on the understanding of computational creativity.
This paper revisits the receptive theory in the context of computational creativity. It presents a case study of a Paranoid Transformer—a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona without any additional human post-filtering. We describe technical details of the generative system, provide examples of output, and discuss the impact of receptive theory, chance discovery, and simulation of fringe mental state on the understanding of computational creativity.
A new artificial neural network architecture that helps generating longer melodic patterns is introduced alongside with methods for post-generation filtering. The proposed approach, called variational autoencoder supported by history, is based on a recurrent highway gated network combined with a variational autoencoder. The combination of this architecture with filtering heuristics allows the generation of pseudo-live, acoustically pleasing, melodically diverse music.
This article features issues related to the inherent structure of legal texts in its relation to the text-internal mechanisms specific for these texts. In particular, the analysis is centered around a legal texts’ propensity to ‘avoid’ pronominal deictic elements, as well as other deixis ordinarily employed for text generation. Legal texts perception is deemed dependent on referencing practiced by the reader. Accents are placed on the ontological difference immanent for texts of law; such difference stipulates their distinction from regular and, thus expected, textual patters; this quality being characterized by minimized elliptical constructions and extended endophoric reference links.
This paper revisits the receptive theory in the context of computational creativity. It presents a case study of a Paranoid Transformer — a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona without any additional human post-filtering. We describe technical details of the generative system, provide examples of output and discuss the impact of receptive theory, chance discovery and simulation of fringe mental state on the understanding of computational creativity.
The article introducing the notion of computational pedagogy and pedagogical design underpinning its development as sociotechnical engineering of activity means and scenarios, aimed at building students' skills of computational thinking, computational participation and computational reflection. The interrelated development of computational thinking, computational participation and computational reflection is demonstrated in the case study of network collaboration setup in the Scratch environment and community.
In this paper we consider choice problems under the assumption that the preferences of the decision maker are expressed in the form of a parametric partial weak order without assuming the existence of any value function. We investigate both the sensitivity (stability) of each non-dominated solution with respect to the changes of parameters of this order, and the sensitivity of the set of non-dominated solutions as a whole to similar changes. We show that this type of sensitivity analysis can be performed by employing techniques of linear programming.
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables