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Showing posts with label Computer Simulation. Show all posts
Showing posts with label Computer Simulation. Show all posts

Monday, April 9, 2018

Use Your Brain: Artificial Intelligence Isn't Close to Replacing It

Leonid Bershidsky
Bloomberg.com
Originally posted March 19, 2018

Nectome promises to preserve the brains of terminally ill people in order to turn them into computer simulations -- at some point in the future when such a thing is possible. It's a startup that's easy to mock. 1  Just beyond the mockery, however, lies an important reminder to remain skeptical of modern artificial intelligence technology.

The idea behind Nectome is known to mind uploading enthusiasts (yes, there's an entire culture around the idea, with a number of wealthy foundations backing the research) as "destructive uploading": A brain must be killed to map it. That macabre proposition has resulted in lots of publicity for Nectome, which predictably got lumped together with earlier efforts to deep-freeze millionaires' bodies so they could be revived when technology allows it. Nectome's biggest problem, however, isn't primarily ethical.

The company has developed a way to embalm the brain in a way that keeps all its synapses visible with an electronic microscope. That makes it possible to create a map of all of the brain's neuron connections, a "connectome." Nectome's founders believe that map is the most important element of the reconstructed human brain and that preserving it should keep all of a person's memories intact. But even these mind uploading optimists only expect the first 10,000-neuron network to be reconstructed sometime between 2021 and 2024.

The information is here.

Sunday, June 21, 2015

How the brain makes decisions

Science Simplified
Originally published on May 25, 2015

Here are two excerpts:

The results of the study drew three major conclusions. First, that human decision-making can perform just as well as current sophisticated computer models under non-Markovian conditions, such as the presence of a switch-state. This is a significant finding in our current efforts to model the human brain and develop artificial intelligence systems.

Secondly, that delayed feedback significantly impairs human decision-making and learning, even though it does not impact the performance of computer models, which have perfect memory. In the second experiment, it took human participants ten times more attempts to correctly recall and assign arrows to icons. Feedback is a crucial element of decision-making and learning. We set a goal, make a decision about how to achieve it, act accordingly, and then find out whether or not our goal was met. In some cases, e.g. learning to ride a bike, feedback on every decision we make for balancing, pedaling, braking etc. is instant: either we stay up and going, or we fall down. But in many other cases, such as playing backgammon, feedback is significantly delayed; it can take a while to find out if each move has led us to victory or not.

The entire article is here.

Source Material:

Clarke AM, Friedrich J, Tartaglia EM, Marchesotti S, Senn W, Herzog MH. Human and Machine Learning in Non-Markovian Decision Making. PLoS One 21 April 2015.

Thursday, March 13, 2014

"A New Theory of Free Will" and the Peer-to-Peer Simulation Hypothesis

By Marcus Arvan
Flickers of Freedom Blog
Originally posted February 24, 2014

Here is an excerpt:

Nick Bostrom is of course well-known for arguing, on probabilistic grounds, that we are probably living in a simulation. Somewhat similarly, David Chalmers has argued that we should consider the “simulation hypothesis” not as a skeptical hypothesis that threatens our having knowledge of the external world, but rather as a metaphysical hypothesis regarding what our world is made of. Finally, the simulation hypothesis is gaining some traction in physics.

My 2013 article and subsequent unpublished work go several steps further, arguing that a new form of the simulation hypothesis -- what I call the Peer-to-Peer (P2P) Simulation Hypothesis -- is not only implied by several serious hypotheses in philosophy and physics, but that it also provides a unified explanation of (A) the mind-body problem, (B) the problem of free will, and (C) several fundamental features of quantum mechanics, while (D) providing a new solution to the problem of free will that I call "Libertarian Compatibilism."

The entire article is here.

Editor's note: I am not sure if I really understand the entire concept.  I am considering a podcast to help understand his theory.