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.
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.”
Receive an email update when we add a new ARTIFICIAL INTELLIGENCE article.
The Latest on: Artificial intelligence
via Google News
The Latest on: Artificial intelligence
- Pentagon Falling Behind in Using Artificial Intelligence on the Battlefieldon October 22, 2019 at 3:24 pm
ANNAPOLIS, Md. – The United States military is falling behind in the race to use artificial intelligence to box adversaries into warfighting corners, the former head of U.S. Naval Special Warfare ...
- 2019 Artificial Intelligence Patent Portfolio Strategies of Amazon and Qualcomm, and AI Investments of Tencenton October 22, 2019 at 1:45 pm
DUBLIN, Oct. 22, 2019 /PRNewswire/ -- The "Artificial Intelligence Patent Portfolio Strategies of Amazon and Qualcomm, and AI Investments of Tencent" report has been added to ResearchAndMarkets.com's ...
- Understanding Artificial Intelligence, Machine Learning, and Deep Learningon October 22, 2019 at 12:59 pm
The shared definition and understanding of the words we use is an issue in business. While several companies are on course to use artificial intelligence (AI), machine learning (ML), and deep learning ...
- How Does Artificial Intelligence Help The Field Of Agriculture?on October 22, 2019 at 11:15 am
Whether we call it artificial intelligence or machine learning, we’ll have real-time insights into the industry that feeds the planet—including the ability to anticipate shortages—unlike ever before.
- Use Artificial Intelligence to Set Sales Targets That Motivateon October 22, 2019 at 9:29 am
In a recent Harvard Business Review article, Chung and several executives from the consulting firm McKinsey & Co explored a new way to thread that needle: using advanced analytics that incorporate ...
- ElectrifAi, Global Leader in Practical Artificial Intelligence and Machine Learning, Appoints Female Executives to Leadership Positionson October 22, 2019 at 8:58 am
Saroj Venkatesh, Xian Sun and Nancy Hornberger join ElectrifAi's leadership team, solidifying the company's commitment to gender equality JERSEY CITY, N.J., Oct. 22, 2019 /PRNewswire/ -- ElectrifAi, a ...
- Internal Audit using Artificial Intelligenceon October 22, 2019 at 6:44 am
OTTAWA, Oct. 22, 2019 /PRNewswire/ - Ottawa based AuditMap Technologies Inc. (AuditMap) is pleased to announce we have engaged with Swiss based SIX Group Ltd (SIX) to evaluate and run a SIX specified ...
- Artificial Intelligence (AI) in Retail Market Expected to Grow at CAGR 36.2% and Forecast to 2025on October 22, 2019 at 6:21 am
Oct 22, 2019 (Brandessence Market Research via COMTEX) -- Artificial Intelligence (AI) in Retail Market: Global Size, Trends, Competitive, Historical & Forecast Analysis, 2019-2025- The increasing ...
- Artificial Intelligence In Social Media Market Size, Share, Challenges, Threats, Development and Global Trend Analysis till 2028on October 22, 2019 at 2:56 am
Oct 22, 2019 (WiredRelease via COMTEX) -- Artificial Intelligence in Social Media Market report 2019 is dispensed after a thorough study of various key market segments like Market Size, Latest Trends, ...
via Bing News