## 4 The Relationship between the Interpretation Process and Scale
### The Interpretation Process  
Based on the schema presented above, the interpretation process can be understood as a repetitive process of symbol selection. Starting from an arbitrary symbol-set to integrate the message, the process of interpretation steps over the splitting, joining and the boundary-drifting of symbols, pursuing a reduction of the entropy associated to the set of selected symbols. Describing these steps as a process directed by the selection of the symbol-set to achieve a reduction of entropy, may sound unreal. We may not be conscious about the resulting entropy of one or another symbol selection. However, when observing at a description, for instance a picture, one of the first things we do is to locate the limits of the objects within the picture. Whenever these limits are not easily recognized, we experience difficulty to understand the description in front of us, then we strive for encountering a contour or a shape which helps us to find a way in the interpretation of the whole picture. This process continues until our interpretation settles in the states where we are able assign an intelligible meaning to the whole message, until we are satisfied with the sensations triggered by the message, or until we reject paying more attention to it because only noise was found. When there are obvious, meaningful patterns, our interpretation quickly fixes those patterns and adjusts the boundaries and sizes of the surrounding symbols searching for a coherent contextual meaning within the description's scope. This is the case of written or spoken words in natural languages. When we can communicate with a natural language, we rapidly recognize the symbols of a description; thus, in this case the interpretation process is not as complex as it may appear. As we are knowledgeable about the language, we can even detect--and correct or compensate for--deviations that may exist with respect to the accepted forms of the language. We can imagine this 'acceleration' of the interpretation process, not only for natural languages but also for other radically different means of transmitting information. Take, for example, the case in which we see a pattern of bands of seven different colors: red, orange, yellow, green, blue and violet. In that order. For most of us that pattern has an already assigned semantic meaning; in spite of its apparent arbitrary and abstract condition, whether we read it or see it, this pattern refers to a rainbow. If the pattern of colors is shaped as a bow, the association to a rainbow is intensified. Sound signals may also form patterns of symbols we can interpret according to a similar process, just working with sonic perceptions instead of colors or graphical patterns. Of course, this is an extremely simple and raw explanation of the interpretation process taking place in our brains, yet, it may be a basis to extend our understanding about perceptions and interpretations.  
Only symbolic information is considered here for purposes of quantitative calculations. Semantic information, as the form of information we use to store most of our experiences and learning, has been left aside. However, using this hypothesis about the mechanism of symbol selection, we have built the Fundamental Scale Algorithm (FSA) [9] which controls a computer searching for the most relevant symbols included in an unintelligible sequence of characters and to extract from it, nearly the maximum possible information. Although the FSA is now developed for one-dimensional descriptions, these results strongly suggest that languages evolve to develop their capacity to organize symbols to effectively convey information. In this evolution process, the symbols adopt sizes and shapes that drive the shape of the resulting symbol-resolution groups away from regular patterns.