By Martin Litchfield West
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This was our starting point, why we took interest in neurology. G. Edelman received a Nobel prize for his research in the immune system, and turned later to neurology. He stresses the parallels between the immune system and the brain, in particular the development of both in dialogue with the world around. Thus, his approach is particularly interesting for us, as we think that our concepts also evolved in dialogue with the world. The brain seems to work very differently from a computer: (1) Already J.
We now give the formal definition of the problem, and then briefly indicate both approaches. 12 A quality matrix is a two-dimensional matrix ai,j , 1 ≤ i ≤ m, 1 ≤ j ≤ n, with ai,j = 0 or 1, where columns indicate different qualities, and rows different instances. For instance, for computer screens, columns might be screen size, reaction time, dot size, etc. where 1 is always better than 0 in overall quality. A bigger screen is better, a screen with faster reaction is better, and with smaller dot size is better, too.
5. 7 New Results We prepare the main results of Chap. 9 by introducing the main definitions of this Chapter, as repeated in Sect. 6, together with their connections and other useful combinatorial results in Sects. 3, and give a number of simple, but interesting examples in Sect. 4. We then turn to our main results in Sects. 7. (1) The first result, which was already shown in Gabbay and Schlechta (2011), but that is given and proved here in a slightly larger context, shows that (μ ∗ 1) entails semantical interpolation, (2) the second shows that (μ ∗ 1) together with smoothness of the generating relation entails semantical interpolation for equivalent formulas, (we do not know if the additional requirement of smoothness which we use in our proof, is necessary for the result) (3) the third shows that (μ ∗ 4) also entails semantical interpolation.