*Resources:* [[Cybernetic Paradigm]] [[Design for a Brain – Ross Ashby]] [[Cybernetics, Art, and Ideas – Jasia Reichardt]] [[System (Process)|System]] [[System Simulation – 03]] [[System Simulation – 04]] - -- Téma: ### Definice emergentních jevů v umělých systémech a jejich význam pro digitální média. Vlastnosti adaptivního chování směřujícího k autonomii. Příklady emergentních jevů v přírodě a jejich technologické aplikace. [[System – Okruh 01 (Notes)]] ![[Research_01_1.jpg]] ![[Research_01_2.jpg]] ![[Research_01_3.jpg]] ![[Research_01_4.jpg]] ![[Research_01_5.jpg]] ![[Research_01_6.jpg]] ![[Research_01_7.jpg]] ![[Research_01_8.jpg]] When the nervous system learns, its behaviour changes *for the better.* When we consider its various parts, however, we find that the value of one part's behaviour cannot be judged until the behaviour of the other parts is known; and the values of their behaviours cannot be known until the first part's behaviour is known. All the valuations are thus conditional, each depending on the others. Thus there is no criterion for ' better' that can be given absolutely, i.e. unconditionally. But a neuron must do something. How then do the activities of the neurons become co-ordinated so that the behaviour of the whole becomes better, even though no absolute criterion exists to guide the individual neuron *[[Design for a Brain – Ross Ashby]]* ![[Research_01_9.jpg]] ![[Research_01_10.jpg]] ![[Research_01_11.jpg]] ![[Research_01_12.jpg]] ![[Research_01_13.jpg]] ![[Research_01_14.jpg]] ![[Research_01_15.jpg]] ![[Research_01_16.jpg]] ![[Research_01_17.jpg]] ![[Research_01_18.jpg]] ![[Research_01_19.jpg]]