We (me and Dr.Nili) are still working on editing the paper. It is about 2.5 months from when I started writing it. It seems that it doesn’t want to be finished anyway.
I, Robot: The Singularity Approach
I watched I, Robot a few days ago. It was of the kind of science fiction movies that pleases me much (like AI, Terminator II, and even 2001:A Space Odyssey). I don’t want to describe the movie; however, I want to say that those kinds of problems are inevitable and are side-effects of the singularity which I believe in. It is not because of disobeying those three robotics laws of Asimov, but due the fact that the agent’s designer doesn’t know what kind of intelligent behavior emerges from the interaction of an embodied system equipped with a sufficient processing power and necessary information processing software.
A Fractal Life
An interview with Benoit Mandelbrot – the father of Fractals!
Brain in a dish acts as autopilot, living computer
A University of Florida scientist has grown a living “brain” that can fly a simulated plane, giving scientists a novel way to observe how brain cells function as a network.
….
To control the simulated aircraft, the neurons first receive information from the computer about flight conditions: whether the plane is flying straight and level or is tilted to the left or to the right. The neurons then analyze the data and respond by sending signals to the plane’s controls. Those signals alter the flight path and new information is sent to the neurons, creating a feedback system.
“Initially when we hook up this brain to a flight simulator, it doesn’t know how to control the aircraft,” DeMarse said. “So you hook it up and the aircraft simply drifts randomly. And as the data comes in, it slowly modifies the (neural) network so over time, the network gradually learns to fly the aircraft.”
Although the brain currently is able to control the pitch and roll of the simulated aircraft in weather conditions ranging from blue skies to stormy, hurricane-force winds, the underlying goal is a more fundamental understanding of how neurons interact as a network, DeMarse said. (quoted from EurekAlert!)