Comprehensive crime bills were passed during the two previous legislative sessions to tackle the looming, costly threat. Now, the Pew Charitable Trusts, a global research and public policy nonprofit group, has agreed to provide free technical assistance to analyze what’s driving the prison population boom.
Gov. Bill Walker said Wednesday he wanted to participate in the project because it is geared toward reducing recidivism, an issue critical to his administration.
The battered credibility of the International Criminal Court was dented further yesterday when Omar al-Bashir, Sudan’s president—indicted in 2009 for crimes against humanity—flew out of South Africa before he could be arrested, as he should have been under the court’s statute (to which South Africa is a signatory). It was close. Hearing that Mr Bashir was likely to attend a summit of the African Union in Johannesburg, South African human-rights activists asked a high court to issue an arrest war
This is our third of a series of posts in the papers published in an issue of Avant on Delusions. Here Rick Adams summarises his paper (co-written with Harriet R. Brown and Karl J. Friston) 'Bayesian Inference, Predictive Coding and Delusions'.
I am in training to become a psychiatrist. I have also recently completed a PhD at UCL under Prof Karl Friston , a renowned computational neuroscientist. I am part of a new field known as Computational Psychiatry (CP). CP tries to explain how various phenomena in psychiatry could be understood in terms of brain computations (see also Corlett and Fletcher 2014, Montague et al., 2012, and Adams et al. forthcoming in JNNP).
One phenomenon that ought to be amenable to a computational understanding is the formation of both ‘normal’ beliefs (i.e. beliefs which are generally agreed to be reasonable) and delusions.
There are strong theoretical reasons to suppose that we (and other organisms) form beliefs in a Bayesian way. Thomas Bayes was an 18th century mathematician who tackled ‘inverse’ probability problems. ‘Direct’ probability is the probability of some data given their causes, e.g. a fair coin toss resulting in a ‘head’. Inverse probability is the opposite, e.g. the probability of a coin being fair, given a particular distribution of heads and tails. Bayes showed how to calculate the likely causes of data given the data and pre-existing beliefs (called ‘priors’) about the existence of those causes.
Everyone of us would be interested how to do this because at some point each one of us had problems with this. If you are interested here we will give you the necessary info, according to this Russian guy. On the numbers of his registration plate he puts something like invisible color that is taped …
Whether or not you believe this to be true, it's easily a Top Five contender for most engrossing murder conspiracy ever—up there with the Magic Bullet that supposedly killed JFK and Cleopatra being taken out by poison (rather than committing suicide via the bite of an asp).
U.S. immigration authorities were increasingly using laws meant to deal with drug offenders to deport migrants who in some cases were legal permanent residents, human rights activists reported Tuesday.
On the autobahn, for example, the bathrooms all had plates where you would leave a tip for the cleaning person. So, you walk into the bathroom, and there is a plate full of money. Now, you put that on the New Jersey Turnpike and it wouldn't last three minutes. They'd steal the money and the plate too. But, in Germany not only do they not steal the money, but they put more in. You look at that and you think, Are these the same people responsible for the Holocaust? How can this be? Yet, some of those people must have been honest. They must have been honest in that narrow sense: placing money on the plate on their way to build a concentration camp.
They had snatched him from his mother. He never saw her again, and their separation was summed up in a song he wrote in 1970 and sang up and down the land until the government, and even the outside world, noticed it: “My Brown Skin Baby They Take Him Away”. Each verse of his story ended in his mother’s keening. But for an aborigine like him, he told the world, the outrage went much wider. His mother was not only Tanguawa, but all the other women of the tribe, who led him on trails and disciplined him. Beyond that, his mother was the Earth itself: the baked red desert that had “grown him up” and nurtured him with all she had, whose presence gave security to his bounding bare feet and rest to his body under the night stars. At the Bungalow, sleeping for the first time in itchy pyjamas on a urine-smelling bed, he would creep out to lie on the floor and try to feel her comfort once more.
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