43,077 research outputs found
Knowing How: A Computational Approach
With advances in Artificial Intelligences being achieved through the use of Artificial Neural Networks, we are now at the point where computers are able to do tasks that were previously only able to be accomplished by humans. These advancements must cause us to reconsider our previous understanding of how people come to know how to do a particular task. In order to unpack this question, I will first look to an account of knowing how presented by Jason Stanley in his book Know How. I will then look towards criticisms of this view before using evidence presented by the existence of Artificial Neural Networks to present a new view that addresses the problems present in Stanley’s work. Finally, I will argue that knowing how to do something is a matter of heuristics, or knowing certain shortcuts which approximate a solution to the task one is trying to accomplish
A New Galactic Wolf-Rayet Star in Centaurus
In this work I communicate the detection of a new Galactic Wolf-Rayet star
(WR60a) in Centaurus. The H- and K-band spectra of WR60a, show strong carbon
near-infrared emission lines, characteristic of Wolf-Rayet stars of the WC5-7
sub-type. Adopting mean absolute magnitude M and mean intrinsic ()
and () colours, it was found that WR60a suffer a mean visual extinction
of 3.81.3 magnitudes, being located at a probable heliocentric distance of
5.20.8 Kpc, which for the related Galactic longitude (l=312) puts this
star probably in the Carina-Sagittarius arm at about 5.9 kpc from the Galactic
center. I searched for clusters in the vicinity of WR60a, and in principle
found no previously known clusters in a search radius region of several tens
arc-minutes. The detection of a well isolated WR star induced us to seek for
some still unknown cluster, somewhere in the vicinity of WR60a. From inspection
of 5.8m and 8.0m Spitzer/IRAC GLIMPSE images of the region around the
new WR star, it was found strong mid-infrared extended emission at about 13.5
arcmin south-west of WR60a. The study of the the H-K colour distribution of
point sources associated with the extended emission, reveals the presence of a
new Galactic cluster candidate probably formed by at least 85 stars.Comment: 5 pages, 2 tables and 4 figures. Figure 4 is in low-resolution mode.
The published on-line version of the paper can be obtained at
http://www.isrn.com/journals/astro/2011/632850
Some Thoughts on Energy Conditions and Wormholes
This essay reviews some of the recent progress in the area of energy
conditions and wormholes. Most of the discussion centers on the subject of
``quantum inequality'' restrictions on negative energy. These are bounds on the
magnitude and duration of negative energy which put rather severe constraints
on its possible macroscopic effects. Such effects might include the
construction of wormholes and warp drives for faster-than-light travel, and
violations of the second law of thermodynamics. Open problems and future
directions are also discussed.Comment: 24 pages; to appear in the Proceedings of the Tenth Marcel Grossmann
Meeting on General Relativity and Gravitatio
Minkowski Vacuum Stress Tensor Fluctuations
We study the fluctuations of the stress tensor for a massless scalar field in
two and four-dimensional Minkowski spacetime in the vacuum state. Covariant
expressions for the stress tensor correlation function are obtained as sums of
derivatives of a scalar function. These expressions allow one to express
spacetime averages of the correlation function as finite integrals. We also
study the correlation between measurements of the energy density along a
worldline. We find that these measurements may be either positively correlated
or anticorrelated. The anticorrelated measurements can be interpreted as
telling us that if one measurement yields one sign for the averaged energy
density, a successive measurement with a suitable time delay is likely to yield
a result with the opposite sign.Comment: 24 pages, 5 figures; Some additional comments added in Sect. IIB and
a more compact argument given in App.
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