Turing Robot-Represents the Worlds First Relationship-Practicing Robot

Turing Test Robot

A US professor is proposing a new way to test whether artificial intelligence (AI) is on a par with that of humans.

Currently, scientists use the Turing test – named after computer scientist Alan Turing – which evaluates whether an AI can convince a judge that it is human in a conversation.

Prof Mark Riedl, from the Georgia Institute of Technology, is proposing a new test.

It would ask a machine to create a convincing poem, story or painting.

Dubbed Lovelace 2.0 it is an iteration of a previous Lovelace Test, proposed in 2001.

Named after one of the first computer programmers, the original test required an AI to create something that it would be incapable of explaining how it was created.

Turing Test Robot

“For the test, the artificial agent passes if it develops a creative artefact from a subset of artistic genres deemed to require human-level intelligence and the artefact meets certain creative constraints given by a human evaluator,” explained Prof Riedl.

The artefact could be painting, poetry, architectural design or a fictional story.

“Creativity is not unique to human intelligence, but it is one of the hallmarks of human intelligence,” said Prof Riedl.

Algorithms have already created stories and paintings although according to Prof Riedl “no existing story generation system can pass the Lovelace 2.0 test”. Full Story

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. Full Story

Turing Test Robot- Cooperating with baihe.com

Turing Test Robot

Turing Test Robot

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