By Hermann Haken
This monograph demonstrates the interaction among Shannon details and semantic details in cognition. It indicates that Shannon’s details acts as driver for the formation of semantic info; and vice versa, particularly, that semantic details participates within the formation of Shannonian info. The authors convey that during cognition, Shannonian and semantic details are interrelated as facets of a cognitive technique termed as information adaptation. within the latter the mind/brain adapts to the surroundings by means of the deflating and/or inflating of the knowledge conveyed by means of the surroundings. within the technique of details variation, quantitative diversifications in Shannon’s info entail varied meanings whereas assorted meanings have an effect on the amount of knowledge. The booklet illustrates the above conceptually and mathematically by means of connection with 3 cognitive approaches: development acceptance, face studying and the popularity of a relocating object.
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Additional resources for Information Adaptation: The Interplay Between Shannon Information and Semantic Information in Cognition
6) Virtual reality. g. tactile. Several notes are in place here: First, as can be seen, different forms of communication convey different amounts of data; in the above list, the amount of data decreases from 1 to 5. This is in line with Shannon’s theory. 3 Forms of Communication 35 applications of information theory to cognition (Chap. 1 above) were referring to form No. (1). In the latter, the mechanical devices of the Shannonian system (the inner square of Fig. 2) are not machines—rather they are embodied in the two persons: T is embodied in S, while R in D.
3 The basic SIRN model, as derived from Haken’s synergetic computer. It symbolizes a self-organizing agent that is subject to two forms of information; intern and external, and is actively constructing two forms of information, again internal and external. Source Haken and Portugali (1996) stresses soft variations of the incoming data values; in pathway 2, which is based on high pass spatial frequency ﬁlter, it analyses and rearranges the incoming data into smaller classes of segments (of lines, corners and so on) and distributes them in the brain’s layers/areas V1–V4.
3 right: you see a conﬁguration of rectangular squares. Now, if you use glasses, just take them off; or, if you don’t, try half-close your eyes, or simply distance yourself from the picture and look again. What do you see? You see Marilyn Monroe. The Fig. 3 experiment thus suggests that the Monroe picture that was encoded by large square pixels becomes recognizable if the hard contours are “softened” by half-closing eyes, the effect of which is equivalent to a (spatial) low frequency ﬁlter. A third example is Fig.