The persons who have the tendency to build story-type models will be very much disturbed by the repetitions, as the repetition sends them back to the point where the statement appeared for the first time. This will fragment the story- type model. Once fragmented, it cannot be continued and a new story-type model has to be built. This produces irritation in this category of readers.
On the contrary, those who build normal models will consider repetion as positive, as it reconfirms the correctness of the assimilated normal model. The model is logical and thus can be developed by anybody who has abilities in building and operating symbolic models.
A short summary has been given at the beginning of the book. Based only on this summary and a few observations based on external reality, anybody could rewrite, maybe even better than I, this whole book. The reason is that any symbolic model is developed univocally based on logic.
Another aspect I want to underline is that this is a fundamental model. Based on it, one can build an unlimited number of local models associated with specific problems. Anybody who has assimilated the model can develop it with his/her own resources for specific problems. E.g. this fundamental model can generate a new positive science called "psychology".
Children starting with age 12 can understand the book. At this age, children can build and operate relatively complex symbolic models, including computer programming.
Humans have a basic problem related to the perception of the external reality. I have discussed with several people who have not been disturbed by the fact that, e.g. in psychology, the terms used have no normal definitions (only descriptive ones). There are people who believe that a positive science is a science that uses apparata and gives precise results of some measurements. Even among physicists problems exist, most don't even realize that what they are doing is integrated into symbolic models. They know very well the models they build and operate, but some do not know the term 'symbolic model'. Many do not realize that any symbolic model is integrated into another symbolic one, until a fundamental symbolic model can be reached.
Example: Many will be surprised to find out that any computer program is a symbolic model. A program written e.g. in Java, is a symbolic model. The Java language itself is a symbolic model. Java is probably included in the symbolic model called C++. C++ itself is included in Assembler, which on its turn is included, together with all the programs, which have ever been written, and any program which will ever be created, in the fundamental symbolic model called machine language.
Whatever the level we are on, a computer program starts with the construction of the symbolic model. This means that we need to declare the elements, their properties and the fundamental relations in between them. This is valid for languages based or not on algorithms. Anything which follow is called simulation on models. Properties of elements or of relations can be changed, and we can see what happens. Once this symbolic model is stable (has no logical contradictions), it has to be calibrated, i.e. needs to be verified on cases where the result is known. In most cases, the calibration implies a larger effort than building the model.
What we obtain from any computer program is a prediction of the model. If the program is stable (logical) and if it passed the calibration tests, then its predictions will be compared with the external reality. We remind here that the assembly of all predictions of a symbolic model is called reality associated to the model.
It is not at all surprising that, in the same way as with the brain, terms as truth or reality can be associated to a computer program, with the definitions from MDT theory of the brain. The reason is easily understandable: we extend to the exterior our own structure of models of the brain. Seems to be impossible to do anything except this!