The grammar of painting and engraving;

Blanc, Charles Le

doi:10.5479/sil.535085.39088008731499

Cited by 9 publications

(2 citation statements)

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“…Consider that humans acquire many different grammars; not only natural language but also virtually any human activity that contains a rule basis containing a structured syntax and semantics. This includes Mathematics [31], which is the basis of all science, music [32], art [33], and sports [34] all of which require their own grammar and it is unthinkable that every potential grammar is prewired into a human brain. It is more reasonable that the brain is prewired to acquire grammar.…”

Section: Grammar Acquisitionmentioning

confidence: 99%

Artificial nervous systems – a technology to achieve biologically modeled intelligence and control for robotics

Narcross

2023

J. Phys.: Conf. Ser.

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Migrating from machine learning and deep learning into the next wave of technology will likely require biological replication rather than biological inspiration. An approach to achieving this requires duplicating entire nervous systems, or at least parts thereof. In theory, these artificial nervous systems (ANS) could reproduce everything required for a system to be biologically intelligent even to the point of being self-aware. This would additionally entail that the resultant systems have the ability to acquire information from both their internal and external environments as well as having the ability to act within the external environment using locomotion and manipulators. Robots are a natural answer for the resultant mechanism and if supplied with an artificial nervous system, the robot might be expected to achieve biologically modelled intelligence (BMI) and control. This paper will provide an overview of the tools for creating artificial nervous systems, as well as provide a roadmap for utilizing the tools to develop robots with general-purpose learning skills and biologically modelled intelligence.

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Section: Grammar Acquisitionmentioning

confidence: 99%

Artificial nervous systems – a technology to achieve biologically modeled intelligence and control for robotics

Narcross

2023

J. Phys.: Conf. Ser.

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“…Pointillism and Divisionism (or Chromoluminarism) are artistic techniques that were widely explored at the end of the 19th century ( Blanc, 1891 ; Clement & Houzé, 1999 ; Gage, 1987 ; Greene, 2007 ; Homer, 1964 ; Lee, 1987 ; Rewald, 1986 ; Signac, 1899 ). 1 One often speaks of Neo-Impressionism ( Clement & Houzé, 1999 ), perhaps an unfortunate term because of the fundamental artistic convictions involved.…”

Section: Introductionmentioning

confidence: 99%

Area Dominates Edge in Pointillistic Colour

2018

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In Pointillism and Divisionism, artists moved from tonal to chromatic palettes, as Impressionism did before them, and relied on what is often called optical mixture instead of stirring paints together. The so-called optical mixture is actually not an optical mixture, but a mental blend, because the texture of the paint marks is used as a means to stress the picture plane. The touches are intended to remain separately visible. These techniques require novel methods of colour description that have to depart from standard colorimetric conventions. We investigate the distinctiveness of transitions between regions as defined through such artistic techniques. We find that the pointillist edges are not primarily defined by luminance contrast but are achieved in almost purely chromatic ways. A very simple rule suffices to predict transition distinctiveness for pairs of cardinal colours (yellow, green, cyan, blue, magenta, and red); it is simply distance along the colour circle or in the RGB cube. Distinctiveness of partition depends mainly on the colours of the regions, not the sharpness of the transition.

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Monet’s Revealing Light: Evolution and Devolution

Liere

1992

The Elemental Dialectic of Light and Darkness

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The grammar of painting and engraving;

Cited by 9 publications

References 0 publications

Artificial nervous systems – a technology to achieve biologically modeled intelligence and control for robotics

Artificial nervous systems – a technology to achieve biologically modeled intelligence and control for robotics

Area Dominates Edge in Pointillistic Colour

Monet’s Revealing Light: Evolution and Devolution

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