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| public:t_720_atai:atai-18:lecture_notes [2018/11/01 17:30] – [Creativity] thorisson | public:t_720_atai:atai-18:lecture_notes [2024/04/29 13:33] (current) – external edit 127.0.0.1 |
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| | What It Is | The establishment of axioms for the world and applying logic to these. | | | What It Is | The establishment of axioms for the world and applying logic to these. | |
| | But The World Is Non-Axiomatic ! | Yes. But there is no way to apply logic unless we hypothesize some pseudo-axioms. The only difference between this and mathematics is that in science we must accept that the so-called "laws" of physics may be only conditionally correct (or possibly even completely incorrect, in light of our goal of figuring out the "ultimate" truth about how the universe works). | | | But The World Is Non-Axiomatic ! | Yes. But there is no way to apply logic unless we hypothesize some pseudo-axioms. The only difference between this and mathematics is that in science we must accept that the so-called "laws" of physics may be only conditionally correct (or possibly even completely incorrect, in light of our goal of figuring out the "ultimate" truth about how the universe works). | |
| | Deduction | Results of two statements that logically are necessarily true. \\ //Example: If it's true that all swans are white, and Joe ifIs a swan, then Joe must be white//. | | | Deduction | Results of two statements that logically are necessarily true. \\ //Example: If it's true that all swans are white, and Joe is a swan, then Joe must be white//. | |
| | Abduction | Reasoning from conclusions to causes. \\ //Example: If the light is on, and it was off just a minute ago, someone must have flipped the switch//. | | | Abduction | Reasoning from conclusions to causes. \\ //Example: If the light is on, and it was off just a minute ago, someone must have flipped the switch//. | |
| | Induction | Generalization from observation. \\ //Example: All the swans I have ever seen have been white, hence I hypothesize that all swans are white//. | | | Induction | Generalization from observation. \\ //Example: All the swans I have ever seen have been white, hence I hypothesize that all swans are white//. | |
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| | What It Is | The tendency of a learner to seek out novel inputs that may not have any relevance to its currently active goals. | | | What It Is | The tendency of a learner to seek out novel inputs that may not have any relevance to its currently active goals. | |
| | Why It Is Important | Curiosity may be an inherent/inevitable feature of all intelligent systems that live in an uncertain environment: Because one of their top-level goals will always be self-preservation, and because they cannot fully predict what threats to this preservation the future may hold, they are forced to collect information which //may// become useful at a later time. \\ (Of course we sometimes call people "curious" who keep sticking their nose into things which may be relevant to them but which societal norms consider outside their obvious range of access - this is a different, more anthropocentric side of curiosity which is less interesting for our purposes. | | | \\ Why It Is Important | Curiosity may be an inherent/inevitable feature of all intelligent systems that live in an uncertain environment: Because one of their top-level goals will always be self-preservation, and because they cannot fully predict what threats to this preservation the future may hold, they are forced to collect information which //may// become useful at a later time. \\ (Of course we sometimes call people "curious" who keep sticking their nose into things which may be relevant to them but which societal norms consider outside their obvious range of access - this is a different, more anthropocentric side of curiosity which is less interesting for our purposes. | |
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