Researchers Discover Key Link Between Mitochondria And Cocaine Addiction

Making A.I. Systems that See the World as Humans Do

A Northwestern University team developed a new computational model that performs at human levels on a standard intelligence test. This work is an important step toward making artificial intelligence systems that see and understand the world as humans do. 

“The model performs in the 75th percentile for American adults, making it better than average,” said Northwestern Engineering’s Ken Forbus. “The problems that are hard for people are also hard for the model, providing additional evidence that its operation is capturing some important properties of human cognition.”

The new computational model is built on CogSketch, an artificial intelligence platform previously developed in Forbus’ laboratory. The platform has the ability to solve visual problems and understand sketches in order to give immediate, interactive feedback. CogSketch also incorporates a computational model of analogy, based on Northwestern psychology professor Dedre Gentner’s structure-mapping theory. (Gentner received the 2016 David E. Rumelhart Prize for her work on this theory.)

Forbus, Walter P. Murphy Professor of Electrical Engineering and Computer Science at Northwestern’s McCormick School of Engineering, developed the model with Andrew Lovett, a former Northwestern postdoctoral researcher in psychology. Their research was published online this month in the journal Psychological Review.

The ability to solve complex visual problems is one of the hallmarks of human intelligence. Developing artificial intelligence systems that have this ability not only provides new evidence for the importance of symbolic representations and analogy in visual reasoning, but it could potentially shrink the gap between computer and human cognition.

(Image caption: An example question from the Raven’s Progressive Matrices standardized test. The test taker should choose answer D because the relationships between it and the other elements in the bottom row are most similar to the relationships between the elements of the top rows)

While Forbus and Lovett’s system can be used to model general visual problem-solving phenomena, they specifically tested it on Raven’s Progressive Matrices, a nonverbal standardized test that measures abstract reasoning. All of the test’s problems consist of a matrix with one image missing. The test taker is given six to eight choices with which to best complete the matrix. Forbus and Lovett’s computational model performed better than the average American.

“The Raven’s test is the best existing predictor of what psychologists call ‘fluid intelligence, or the general ability to think abstractly, reason, identify patterns, solve problems, and discern relationships,’” said Lovett, now a researcher at the US Naval Research Laboratory. “Our results suggest that the ability to flexibly use relational representations, comparing and reinterpreting them, is important for fluid intelligence.”

The ability to use and understand sophisticated relational representations is a key to higher-order cognition. Relational representations connect entities and ideas such as “the clock is above the door” or “pressure differences cause water to flow.” These types of comparisons are crucial for making and understanding analogies, which humans use to solve problems, weigh moral dilemmas, and describe the world around them.

“Most artificial intelligence research today concerning vision focuses on recognition, or labeling what is in a scene rather than reasoning about it,” Forbus said. “But recognition is only useful if it supports subsequent reasoning. Our research provides an important step toward understanding visual reasoning more broadly.”

For more posts like these, go to @mypsychology​

How to Study Effectively | Psych2Go

6 Ways to Survive Parties as an Introvert

There’s a reason why introverts aren’t usually particularly fond of parties—too much stimulation and small talk, but not enough authenticity and quiet. And yet, like most things in life, sometimes parties are inevitable. So, why do we do it? Why do we spend long Friday nights out feeling lonelier than when we’re alone? Because despite hating the peer pressure we face making bad decisions, we hate not participating even more. We hate not knowing. But there are ways to make good decisions and enjoy parties, rather than seeing them as mere social obligations. Psych2Go shares with you 6 ways to survive parties as an introvert:

1. Know when it’s worth it to go out.

It’s okay to be selective about which parties to attend. In fact, it’s smart to choose what works best for you. You don’t have to go to every event you’re invited to. It’s similar to dating. If we spent all our time trying to date everyone, it would lose meaning. We’re not compatible with every person that we meet, and the same applies to parties. It’s okay to skip out…

Continue Reading Here

For more posts like these, go to @mypsychology​

Myths & Facts about Mental Illness 

source: Global Medical Education

For more follow us @ Awake Society

For more posts like these, go to @mypsychology​