Is this relating to anything concrete? I'm having a hard time processing abstract essays like that...
Cheers On Thu, 13 Sep 2018 at 17:42, Jim Bromer via AGI <agi@agi.topicbox.com> wrote: > The first stage of learning something new is mostly trial and error. > Of course you have to understand some prerequisites before you are > capable of learning something new. Simplification is useful at this > stage even though it might get in the way. Idealization is a method > which you can use to initially create some rough metrics (or something > that can be used in ways similar to metrics.) Exaggeration and > simplification have some similarities to idealization and so they are > useful in this process. The next stage requires that you look at your > results and begin to analyze them. Although idealization and > simplification are important tools, if they are used inappropriately > they can create some interference in the process. The process of > analysis is used to find core concepts (or core abstractions) which > might to be useful in discovering what went wrong or developing new > ideas. Adaptation is a necessary component of new learning. This is > the stage when stubborn adherence to some initial idealization or > simplification may really interfere in the process of new learning. > While you need to continue using simplifications and idealizations, if > your simplifications are stuck in the primitive mode they were in > during the initial stage of research they will probably interfere in > finding an effective adaptation. The next step is to examine some > sub-goals which might be useful to discover what seem like necessary > pre-requisites for the ultimate goal. Again, you may find that the > abstractions and core features of a problem or a hypothetical solution > that you thought you understood may be inaccurate. So you may need to > refine your ideas about the core features of the problem just as you > have to rethink the solutions that you thought might work. I have > found that at a later stage of work you may find that you may make > advances on sub-goals that go way past what you did at an earlier > stage. This recognition may also serve as a kind of metric. Even > though you may not have made any substantial progress toward the > project goal, the fact that you have made an unexpected advancement in > a sub-goal may indicate that it is something worth looking into. Over > a period of time, the work which has been done to idealize and > simplify, test and experiment, analyze and adapt, and refine the > idealizations and abstractions about both the problem and possible > solutions should help you to be understand the nature of the problem > and the nature of what a solution may look like. I believe that > incremental advances are necessary for revolutionary advances in > science because they are the basis for revolutionary advancements. But > you have to have some experience focusing your imagination on actual > experiments to appreciate the significance of the adaptation of > simplification, ideals, and abstraction. > Jim Bromer -- Stefan Reich BotCompany.de // Java-based operating systems ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Td2f16e9693de44aa-M10021cd5cc289388367c3693 Delivery options: https://agi.topicbox.com/groups/agi/subscription
