To I will be talking about Android. No the next big thing from Google to counter on Apple IOS, rather its authentically refers to the artificial intelligence of robots. You heard of the 3 laws? I picked that up from Irobot by Wills Smith. I didn't thought the 3 laws mentioned is actually documented as literature for robots design in the real world.
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1) A robot may not injure a human being or, through inaction, allow a human being to come to harm.
2) A robot must obey any orders given to it by human beings, except where such orders would conflict with the First Law.
3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
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It interesting to realize that the control philosophy behind robot is auto learning, auto generating and auto complicate using codes, where its written in such a way its beyond human interference. It can really create some trouble for the humanity if the code is written open ended with the robot to self learn and self taught. It hard to describe this phenomenon, so thats why I-robot was film as a movie.
Fundamentally, robots are run under 2 major core of logics. Namely the "fuzzy logic" for reasoning, and "artificial neural network" for perspective. I know its jargonism, but stay with me or stay with will smith, its really getting interesting. For example sake, we say we put an android to drive from point A to point B while driving straight on the center of road
Fuzzy logic
The idea of reasoning. It like introducing human perspective to it, you define if too left steer right and vice versa. So once this code of "reasoning" is given to the android, you do not have to guide him to drive, he will reason out and drive till objective is meet.
Artificial Neural Network
This like a new baby, zero knowledge. You have to teach them a few time and let them learn by experience. Or with a set of data first. So as android begin to learn with their set of data, they will know which route is the less setback or risk to take. That define their decision. But the route they take today will not be the route they take tomorrow.
My interpretation on human contexts
Fuzzy logic is someone will very strong set of theory based knowledge and a good decision maker. Before they commit a decision, they will make decision as and when along the course of the route and are generally a good starter to getting things done.
For Neural network, the person always do not know very much how to analysis. They make decision based on past experience and like seeing things at the big picture to try getting the best / worst case scenario. They are not good in entrepreneur but good at supervision of work as this work best on past experience.
I am a very "Neural" person, I wish to pick up some "fuzzy logic". I really think that I am thinking too much. I am a slow learner because I am constantly learning from trial and error for my database. The more mistake I do, the more correct my next decision will be. Am I making any senses here?
So what kind of person are you?
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1) A robot may not injure a human being or, through inaction, allow a human being to come to harm.
2) A robot must obey any orders given to it by human beings, except where such orders would conflict with the First Law.
3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
//
It interesting to realize that the control philosophy behind robot is auto learning, auto generating and auto complicate using codes, where its written in such a way its beyond human interference. It can really create some trouble for the humanity if the code is written open ended with the robot to self learn and self taught. It hard to describe this phenomenon, so thats why I-robot was film as a movie.
Fundamentally, robots are run under 2 major core of logics. Namely the "fuzzy logic" for reasoning, and "artificial neural network" for perspective. I know its jargonism, but stay with me or stay with will smith, its really getting interesting. For example sake, we say we put an android to drive from point A to point B while driving straight on the center of road
Fuzzy logic
The idea of reasoning. It like introducing human perspective to it, you define if too left steer right and vice versa. So once this code of "reasoning" is given to the android, you do not have to guide him to drive, he will reason out and drive till objective is meet.
Artificial Neural Network
This like a new baby, zero knowledge. You have to teach them a few time and let them learn by experience. Or with a set of data first. So as android begin to learn with their set of data, they will know which route is the less setback or risk to take. That define their decision. But the route they take today will not be the route they take tomorrow.
My interpretation on human contexts
Fuzzy logic is someone will very strong set of theory based knowledge and a good decision maker. Before they commit a decision, they will make decision as and when along the course of the route and are generally a good starter to getting things done.
For Neural network, the person always do not know very much how to analysis. They make decision based on past experience and like seeing things at the big picture to try getting the best / worst case scenario. They are not good in entrepreneur but good at supervision of work as this work best on past experience.
I am a very "Neural" person, I wish to pick up some "fuzzy logic". I really think that I am thinking too much. I am a slow learner because I am constantly learning from trial and error for my database. The more mistake I do, the more correct my next decision will be. Am I making any senses here?
So what kind of person are you?
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