Mediatization, polarization, and intolerance (between environments, media, and circulation)

Jairo G. Ferreira 310 ded in the cell wall. E. coli has 8-10 flagella placed randomly in the cell body. When all flagella move counterclockwise, they become compact, propel- ling the cell along a helical path. When the flagella move clockwise, they all pull the bacterium in dif- ferent directions, resulting in a random change in the direction of movement, with very little dis- placement. Such movement (θi) is justified as a way to increase the chances of the bacteria to follow a path that makes it reach more favorable regions to obtain nutrients. Obviously, the sequence of move- ments and the duration of a unidirectional shift will depend on the concentration of harmful nutrients or substances (or be neutral), or on the presence of a nutrient or harmful gradient (dependent on the spatial variation in the density of nutrients or harmful substances) in the region where the bacte- rium is (SERAPIÃO, 2009, p. 280). We could follow with these cases, hypotheses devel- oped by the area of information, based on laboratory studies on the behavior of other animal species, which have been support- ing algorithms for the management of social processes aimed at “solving human problems.” This may indicate the importance of studying algo- rithms as systems, according to the authors who assume them- selves in the realm of artificial intelligence (following the trail opened by Herbert Simon Allen Newell; Frank Rosenblatt; John MacCarthy; Marvin Minsky) and their updates. But we can ob- serve in documents that, in addition to the permanent reference to the term algorithm, their works are in a powerful interface with cognitive psychology and anthropology, in the perspective of its computational formalization. These formulations reach several levels of algorithmic agency: the so-called machine language (which makes it pos- sible for a system to be transformed into digital media opera- tions, from the computer to the cell phone); the operating sys- tems, which mediate between machine and software; singular languages (called by some high-level languages - such as expert systems); diagrams, flows, models, heuristics, and inferences