From memory balls to tree-net k-machine?

The differences between memory balls and k-machine.

Remembering something is not the simple play-back of ‘recorded event’.

How can a tree-net k-machine building model be used to model our thinking and learning? 

如何构造一个关于脑空间的虚拟类比模型？

电影头脑特工队将Riley 的脑空间进行划分。想象空间与抽象空间作为两个独立的院子存在。

如果在一个问答社区去问这个问题：如何将人的记忆，就我们现在所猜测及部分验证的知识，来构造一个基于类比的虚拟的想象模型?

这个想象的模型可以更好地去用图解来表达一些规律？

Answer： 我的回答可以融入我的部分的思考。

为什么一个树网状的认知机器可以更形象地来图解一些关于思维及学习的规律。

Learning how to learn

To what degree, it is about knowing some knowledge, can this one become as systematically as self-regulation, as learning-design by learners.

Learning-design expertise are developed not only by knowing how, but also by actually apply the patterns/knowledge/skills in one’s learning-journey, overtime, try and find the appropriate strategies, and appraise the use of the strategies.

Overtime, the confidence and satisfaction are acquired, these skills become automated, in a learner’s tree-net gardens, there are many trees blossom, bear fruits; in other words, the same strategy can be used creatively in different situations.

The learner truly become the expert after much experience of explicitly experiment on using the strategies. Learning is an systematic engineer process, rather than only knowing some how, without necessarily commit in using these strategies. And like any engineering process, a process needs to be guaranteed by many external and internal factors.

Memory palace as the linear procedure

The to be remembered set of things might be non-linear. There are always ways to project the SET into the walking-or-running memory trace base.

The world competition on memory might be based on the non-meaningful stuff in one’s daily life or work. What about in a person’s real life, more often, the memory trace bases are based on meaningful events, similar events keep on repeating.

Talking about the TV shows on the brain, the super-brain, the smartest person in Canada, what is the meaning for each type of competition, what is the relevance of these abilities/capabilities to one’s daily life? Sensory discrimination: visuals, colors, face, costume, similar patterns. Encoding techniques: to the memory-trace-base, to the images.

Navigating in 3-worlds

A person navigates in a complicated 3-worlds every day. Each navigation is a journey, an experience, doing along a route, working with a procedure.

In SmartArt, the procedure/process shows this working logic. The flow-chart shows directly, and also considers the multiple-routes to consider. No matter how complicated a system is, one person/entity each time, along the TIME frame to navigate/experience/interact in the system. A movie is presented in a time-linear format, for an audience, this is a time-linear experience/journey.

In learning design, the linear-experience is in the ADDIER model. The Linear-experience does not conflict the complicated, sometimes recursive processes. In the sub-procedure, the linear process is needed. No matter how complicated one’s daily life might be, it is filled with tons of linear procedures/processes.

All fields involving the ways of thinking need the new SIGN-system

Learning science is not the only field which will benefit from having a SIGN-system that enable communicators to build the physical models in their minds.

The abstractness exist everywhere, so long as the concreteness/visualization fail to be built, there will be great obstacles for people to use the patterns, or even find the new patterns in the field. Basically, all humane science, or even the engineer worlds need to represent how people think, learn, communicate, or even innovate in a more visualized way.

The mass-media fields have always tried to find better ways: the Japanese Cartoons use the thinking cloud, and years later, the TV dramas might adopt the thinking clouds too. The radio talk shows can effectively say it aloud how a person thinks; then years later, the narrator’s way become popular in TV dramas, like in the Grey’s anatomy, like in the movie of ‘Life of Pi’. Even in the short-drama, people are creative in creating all the background settings, the setting objects, or those non-humane objects with using the real persons. Not mentioning the digital technology in simulation.

What theories support the creating the physical models?

Using the name directly, to search Driscoll’s book, this word appears in Chapter of Mental models. Using physical model is an effective way to build mental models(or sometimes it is called phenomena, ?? Other names, a simplified model of the real system).

It remains to see how different physical models play a role in different fields, a lot more research are needed for finding out. The most familiar physical models for us are the planet-models, the earth, the moon, the space-ship-looking-out simulations. The other one is the: animating a cell, in the TED talks.

In the same chapter, reasoning with analogy was mentioned. Many physical models are built with integrating metaphors/analogies, especially when no direct physical features can be seen directly, can be proved directly. Then, seeing the sign activity along human’s history (semiotics), how the first written language look like, and how a kid learns language from the birth, how a novice learn in a new field(Bruner’s multiple mode) .

Vygotsky’s internalization of the languages. Multiple-mode of memory. Gagne’s learning outcome hierarchy: the discrimination based on sensory input, and then concrete concept, then defined concept, and then rule, and complicated rule. All later stuff based the initial sensory inputs, the creating of the sensory discrimination.

Again back to the ways that people acquire the sensory discrimination, either there are direct ways to get them, or tools/methods are needed to get them.

For some, the X-ray, the telescope, the microscope, or other visualization tools can help, and can make it. For others, even these tools are not enough to see the truth, the elephant, metaphors/analogies have to be used to create the physical models that provide us the sensor discrimination. Making sense of = understanding, understanding must rely on the creating sensory-info, the physical features behind the knowledge. Otherwise, the reasoning/understanding stays on the superficial level.