10 MAR 2017 by ideonexus
Argonauts: Magna Cortica
THE MAGNA CORTICA ORIGINAL TENETS (DATE UNKNOWN BUT BEFORE BF 80) I. Self knowledge. Sapient beings have the right to know whether they’ve been mentally modified. II. Self-modification. Sapient beings have the right to pursue self-modification. III. Refusing modification. They also have the right to refuse it. IV. Modification (or not) of progeny. Sapient beings have the right to modify—or not—their own progeny. V. Knowledge of who has been modified or selfupgraded. Polities and ...20 MAR 2015 by ideonexus
Lojban as AI Language
Can machines feel pride? Not sure question means anything. But you've seen dogs with hurt feelings and Mike had several times as complex a neural network as a dog. What had made him unwilling to talk to other humans (except strictly business) was that he had been rebuffed: They had not talked to him. Programs, yes--Mike could be programmed from several locations but programs were typed in, usually, in Loglan. Loglan is fine for syllogism, circuitry, and mathematical calculations, but lacks fl...21 APR 2014 by ideonexus
Perceptrons and Sigmoid Neurons
A way you can think about the perceptron is that it's a device that makes decisions by weighing up evidence. Let me give an example. It's not a very realistic example, but it's easy to understand, and we'll soon get to more realistic examples. Suppose the weekend is coming up, and you've heard that there's going to be a cheese festival in your city. You like cheese, and are trying to decide whether or not to go to the festival. You might make your decision by weighing up three factors: 1. Is...Folksonomies: artificial intelligence machine learning
Folksonomies: artificial intelligence machine learning
Two tool for machine learning.
24 DEC 2013 by ideonexus
How Neural Circuitry is Laid Down
In thinking about hidden layers, it’s important to distinguish between the routine efficiency and power of a good network, once that network has been set up, and the difficult issue of how to set it up in the first place. That difference is reflected in the difference between playing the piano (or, say, riding a bicycle, or swimming) once you’ve learned (easy) and learning to do it in the first place (hard). Understanding exactly how new hidden layers get laid down in neural circuitry is ...Frank Wilczek describes one of the great questions of science, how the difficult taks of learning something leads to the learned easy of later doing it.