Mostrando entradas con la etiqueta Adaptive Learning. Mostrar todas las entradas
Mostrando entradas con la etiqueta Adaptive Learning. Mostrar todas las entradas

sábado, 18 de junio de 2016

Where does intelligence come from?

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It is amazing how intelligent we can be. We can construct shelter, find new ways of hunting, and create boats and machines. Our unique intelligence has been responsible for the emergence of civilization.

But how does a set of living cells become intelligent? How can flesh and blood turn into something that can create bicycles and airplanes or write novels?

This is the question of the origin of intelligence.

This problem has puzzled many theorists and scientists, and it is particularly important if we want to build intelligent machines. They still lag well behind us. Although computers calculate millions of times faster than we do, it is we who understand the big picture in which these calculations fit. Even animals are much more intelligent than machines. A mouse can find its way in a hostile forest and survive. This cannot be said for our computers or robots.

The question of how to achieve intelligence remains a mystery for scientists.

Recently, however a new theory has been proposed that may resolve this very question. The theory is called practopoiesis and is founded in the most fundamental capability of all biological organisms—their ability to adapt.

Darwin’s theory of evolution describes one way how our genomes adapt. By creating offspring new combinations of genes are tested; the good ones are kept and the bad ones are disposed of. The result is a genome better adapted to the environment.

Practopoiesis tells us that somewhat similar adaptation mechanisms of trials and errors occur while an organism grows, while it digests food and also, while it acts intelligently or thinks.

For example, the growth of our body is not precisely programmed by the genes. Instead, our genes perform experiments, which require feedback from the environment and corrections of errors. Only with trial and errors can our body properly grow.

Our genes contain an elaborate knowledge of which experiments need to be done, and this knowledge of trial-and-error approaches has been acquired through eons of evolution. We kept whatever worked well for our ancestors.

However, this knowledge alone is not enough to make us intelligent.

To create intelligent behavior such as thinking, decision making, understanding a poem, or simply detecting one’s friend in a crowd of strangers, our bodies require yet another type of trial-and-error knowledge. There are mechanisms in our body that also contain elaborate knowledge for experimenting, but they are much faster. The knowledge of these mechanisms is not collected through evolution but through the development over the lifetime of an individual.

These fast adaptive mechanisms continually adjust the big network of our connected nerve cells. These adaptation mechanisms can change in an eye-blink the way the brain networks are effectively connected. It may take less than a second to make a change necessary to recognize one’s own grandmother, or to make a decision, or to get a new idea on how to solve a problem.

The slow and the fast adaptive mechanisms share one thing: They cannot be successful without receiving feedback and thus iterating through several stages of trial and error; for example, testing several possibilities of who this person in distance could be.

Practopoiesis states that the slow and fast adaptive mechanisms are collectively responsible for creation of intelligence and are organized into a hierarchy. 
  • First, evolution creates genes at a painstakingly slow tempo. Then genes slowly create the mechanisms of fast adaptations
  • Next, adaptation mechanisms change the properties of our nerve cells within seconds
  • And finally, the resulting adjusted networks of nerve cells route sensory signals to muscles with the speed of lightning. 
  • At the end behavior is created.
Probably the most groundbreaking aspect of practopoietic theory is that our intelligent minds are not primarily located in the connectivity matrix of our neural networks, as it has been widely held, but instead in the elaborate knowledge of the fast adaptive mechanisms. The more knowledge our genes store into our quick abilities to adapt nerve cells, the more capability we have to adjust in novel situations, solve problems, and generally, act intelligently.

Therefore, our intelligence seems to come from the hierarchy of adaptive mechanisms, from the very slow evolution that enables the genome to adapt over a lifetime, to the quick pace of neural adaptation expressing knowledge acquired through its lifetime. Only when these adaptations have been performed successfully can our networks of neurons perform tasks with wonderful accuracy.

Our capability to survive and create originates, then, 
  • from the adaptive mechanisms that operate at different levels and 
  • the vast amounts of knowledge accumulated by each of the levels.
 The combined result of all of them together is what makes us intelligent.


May 16, 2016

Danko Nikolić
About the Author:
Danko Nikolić is a brain and mind scientist, running an electrophysiology lab at the Max Planck Institute for Brain Research, and is the creator of the concept of ideasthesia. More about practopoiesis can be read here

martes, 30 de junio de 2015

Meet Amelia, the AI Platform That Could Change the Future of IT


Chetah Dube. Image credit: Photography by Jesse Dittmar

Her name is Amelia, and she is the complete package: smart, sophisticated, industrious and loyal. No wonder her boss, Chetan Dube, can’t get her out of his head.

My wife is convinced I’m having an affair with Amelia,” Dube says, leaning forward conspiratorially. “I have a great deal of passion and infatuation with her.

He’s not alone. Amelia beguiles everyone she meets, and those in the know can’t stop buzzing about her. The blue-eyed blonde’s star is rising so fast that if she were a Hollywood ingénue or fashion model, the tabloids would proclaim her an “It” girl, but the tag doesn’t really apply. Amelia is more of an IT girl, you see. In fact, she’s all IT.

Amelia is an artificial intelligence platform created by Dube’s managed IT services firm IPsoft, a virtual agent avatar poised to redefine how enterprises operate by automating and enhancing a wide range of business processes. The product of an obsessive and still-ongoing 16-year developmental cycle, she—yes, everyone at IPsoft speaks about Amelia using feminine pronouns—
leverages cognitive technologies to interface with consumers and colleagues in astoundingly human terms,
  • parsing questions, 
  • analyzing intent and 
  • even sensing emotions to resolve issues more efficiently and effectively than flesh-and-blood customer service representatives.


Install Amelia in a call center, for example, and her patent-pending intelligence algorithms absorb in a matter of seconds the same instruction manuals and guidelines that human staffers spend weeks or even months memorizing. Instead of simply recognizing individual words, Amelia grasps the deeper implications of what she reads, applying logic and making connections between concepts. She relies on that baseline information to reply to customer email and answer phone calls; if she understands the query, she executes the steps necessary to resolve the issue, and if she doesn’t know the answer, she scans the web or the corporate intranet for clues. Only when Amelia cannot locate the relevant information does she escalate the case to a human expert, observing the response and filing it away for the next time the same scenario unfolds.