Negativity and Genius


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This is a repost from the Facebook page that I run called The Culture & Friends. It features a very interesting post on the online Magazine Medium about the effect of negativity on creativity and genius. A good read.

Seeking Genius in Negative Space

Mastering Seeing Negatice Space

Parthenon 1 – Athens Greece

Pedro Holderbaum on Greece

Pedro Holderbaum

The Parthenon is problably the most famous surviving site from Ancient Greece. Standing at the heart of The Acropolis in the centre of Athens, the Parthenon is a monument to Classical Greek civilisation. Built during the golden age of Pericles – the famous Athenian statesman – the Parthenon was originally constructed to be a temple to the Ancient Greek goddess Athena. 1P1120536 (2)2P1120508 (2)3P1120509 (2)4P1120517 (2)5P1120507 (2)6P11205157P1120516 (2)8P1120526 (2)9P1120522

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Contagem Descrente, de John Wolf

Sobre o livro de John Wolf: Contagem Descrente.



Ao canto da sala descansava uma bengala gasta, porventura cansada de tanto andar sem o amparo de uma bengala.

Este livro é uma coletânea de contos decalcados a partir do nosso quotidiano. O homem em conflito com a sua consciência, marcado pela circunstância social e pelo egoísmo. O livro apresenta uma estrutura temática, não óbvia, abrindo no primeiro conto com o homem enquanto indivíduo, focado em si mesmo, fechando com um conto sobre o homem político e o seu papel na sociedade. Na voz de um narrador irrequieto, tricotando entre a realidade que o envolve e um zapping de pensamentos, trasvazam-se os limites de uma consciência em permanente conflito.

O insecto fossilizado no pára-brisas deixou um bilhete fácil e sacrificou-se na entrega da mensagem.

O narrador-personagem é por vezes um objeto, como o manual da passadeira de fitness, agredindo o personagem-homem, orgânico, que procura restabelecer à custa da tecnologia…

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A Multi-Level Geographical Study of Italian Political Elections from Twitter Data

See on Scoop.itEdgar Analytics & Complex Systems

In this paper we present an analysis of the behavior of Italian Twitter users during national political elections. We monitor the volumes of the tweets related to the leaders of the various political parties and we compare them to the elections results. Furthermore, we study the topics that are associated with the co-occurrence of two politicians in the same tweet. We cannot conclude, from a simple statistical analysis of tweet volume and their time evolution, that it is possible to precisely predict the election outcome (or at least not in our case of study that was characterized by a “too-close-to-call” scenario). On the other hand, we found that the volume of tweets and their change in time provide a very good proxy of the final results. We present this analysis both at a national level and at smaller levels, ranging from the regions composing the country to macro-areas (North, Center, South).

Multi-Level Geographical Study of Italian Political Elections from Twitter Data

Caldarelli G, Chessa A, Pammolli F, Pompa G, Puliga M, et al.

PLoS ONE 9(5): e95809 (2014)

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Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism

See on Scoop.itEdgar Analytics & Complex Systems

Guided self-organization can be regarded as a paradigm proposed to understand how to guide a self-organizing system towards desirable behaviors, while maintaining its non-deterministic dynamics with emergent features. It is, however, not a trivial problem to guide the self-organizing behavior of physically embodied systems like robots, as the behavioral dynamics are results of interactions among their controller, mechanical dynamics of the body, and the environment. This paper presents a guided self-organization approach for dynamic robots based on a coupling between the system mechanical dynamics with an internal control structure known as the attractor selection mechanism. The mechanism enables the robot to gracefully shift between random and deterministic behaviors, represented by a number of attractors, depending on internally generated stochastic perturbation and sensory input. The robot used in this paper is a simulated curved beam hopping robot: a system with a variety of mechanical dynamics which depends on its actuation frequencies. Despite the simplicity of the approach, it will be shown how the approach regulates the probability of the robot to reach a goal through the interplay among the sensory input, the level of inherent stochastic perturbation, i.e., noise, and the mechanical dynamics.


Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism
Surya G. Nurzaman , Xiaoxiang Yu, Yongjae Kim and Fumiya Iida

Entropy 2014, 16(5), 2592-2610

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