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No. They don't. Animals live in the moment and understand causal relationships within time and space. They don't abstract their thoughts and form assemblies or
by leoharsha2 9y ago
No. They don't. Animals live in the moment and understand causal relationships within time and space. They don't abstract their thoughts and form assemblies or sciences or write histories. Though they understand causal laws better than humans sometimes. Hence you can't teach an animal like you would a human. But you can train an animal. This works on habit, not on abstract thought. Both animals and humans can be trained. Both have habit. Humans live by codes and formulas and religions, all are related to thought,animals don't. Man, through abstract concepts lives in the future and the past, the animal only in the present. Man is led by error, animals don't err. Both animals and man are susceptible to illusion. This is how you trap an animal in the wild. You don't led him into capture by lies or falsehood.
- agumonkey 9y agoWhat about the team problem solving experiment ? I remember two monkeys improvising a distributed solution to pull ropes in the right order and time to get access to some food.
- KekDemaga 9y agoThis crow really appears to be thinking: https://www.youtube.com/watch?v=ZerUbHmuY04&app=desktop https://www.youtube.com/watch?v=ZerUbHmuY04&app=desktop
- lisper 9y agoGreat apes too. http://www.neatorama.com/2007/07/05/clever-puzzle-solving-orangutans/ http://www.neatorama.com/2007/07/05/clever-puzzle-solving-or...
- dispo001 9y agothe body language is awesome
- raarts 9y agoMaybe it only appears to be, but in fact it's some animal form of ML. Hard to say I guess.
- unfunco 9y agoSome animal form of ML? Like… learning?
- pluma 9y agoMaybe humans only appear to be thinking but in fact only use some human form of ML?
- red75prime 9y agoDeep neural networks aren't aware of changes in their own performance, because their cannot remember or compare their own current performance to the one in the past. Thus humans at least cannot be pure DNN ML algorithm. RNNs have error propagation thru time, but connections' weight changes aren't represented as neuron activations and therefore aren't accessible to the neural network itself. That is RNNs aren't aware that they learn too. Thus humans cannot be pure RNN ML algorithm. Naturally, humans implement some learning algorithm. The question is which algorithms are capable of which sides of thinking.
- p1esk 9y agoDeep neural networks aren't aware of changes in their own performance, because their cannot remember or compare their own current performance to the one in the past. What are you talking about? Awareness of the changes is the point of such techniques as momentum or early stopping.
- red75prime 9y agoThe part of a system which monitors these changes (well, it mostly monitors single number, performance on a test set) isn't represented in the network itself. You can train dialogue NLP system as much as you wish, but you'll never get answers to a question "Have you learned this training set already?" which correlate with whether performance on the test set have plateaued. I wouldn't call it awareness. We are certainly aware that one part of the system monitors another part, the system itself isn't.
- bumbledraven 9y agoSo does Deep Blue. Does that mean we shouldn't turn it off?