Questões de Concursos Advérbios de lugar

Philipp Ritter keeps his eyes fixed on the deer, pulls the trigger and hits the animal directly in the heart with one shot. It has not noticed anything and within a few moments the deer collapses and lies still. Ritter said that killing is never pleasant for him. He loves nature. The well-being of the forest and the animals are important to him. Hunters, like Ritter, make sure that nature is in balance. If there are too many deer, for example, the trees get damaged. For most of them, hunting is a passion. They treat the animals with respect and take just as many of them as necessary. Ritter has thought a lot about how he can eat meat with a clear conscience. He decided that if he wanted to eat it, he had to be ready to kill it. He started with fishing. It was difficult for him to kill his first fish. But he was also somehow proud. But should a person be able to eat meat without having to kill the animal they eat? Because that, of course, is not the way most people today get their meat. People have gradually moved away from hunting through the intermediate stages of farming and individual butchering to today’s industrial processing of meat, in order to give consumers the most convenience. Nowadays, it is possible to walk into a shop and buy a nicely packaged piece of meat at a cheap price. It is easy to forget that behind every piece of meat is a life that has come to an end.

It’s easy to equate brains and computers – they’re both thinking machines, after all. But the comparison doesn’t really stand up to closer inspection, as Dr. Lisa Feldman Barrett reveals.

People often describe the brain as a computer, as if neurons are like hardware and the mind is software. But this metaphor is deeply flawed.

A computer is built from static parts, whereas your brain constantly rewires itself as you age and learn. A computer stores information in files that are retrieved exactly, but brains don’t store information in any literal sense. Your memory is a constant construction of electrical pulses and swirling chemicals, and the same remembrance can be reassembled in different ways at different times.

Brains also do something critical that computers today can’t. A computer can be trained with thousands of photographs to recognise a dandelion as a plant with green leaves and yellow petals. You, however, can look at a dandelion and understand that in different situations it belongs to different categories. A dandelion in your vegetable garden is a weed, but in a bouquet from your child it’s a delightful flower. A dandelion in a salad is food, but people also consume dandelions as herbal medicine.

In other words, your brain effortlessly categorises objects by their function, not just their physical form. Some scientists believe that this incredible ability of the brain, called ad hoc category construction, may be fundamental to the way brains work.

Also, unlike a computer, your brain isn’t a bunch of parts in an empty case. Your brain inhabits a body, a complex web of systems that include over 600 muscles in motion, internal organs, a heart that pumps 7,500 litres of blood per day, and dozens of hormones and other chemicals, all of which must be coordinated, continually, to digest food, excrete waste, provide energy and fight illness.[…]

If we want a computer that thinks, feels, sees or acts like us, it must regulate a body – or something like a body – with a complex collection of systems that it must keep in balance to continue operating, and with sensations to keep that regulation in check. Today’s computers don’t work this way, but perhaps some engineers can come up with something that’s enough like a body to provide this necessary ingredient.

For now, ‘brain as computer’ remains just a metaphor. Metaphors can be wonderful for explaining complex topics in simple terms, but they fail when people treat the metaphor as an explanation. Metaphors provide the illusion of knowledge.

(Adapted from https://www.sciencefocus.com/future-technology/canwe-build-brain-computer/ Published: 24th October, 2021, retrieved on February 9th, 2022)