DANGER AVOIDANCE WITH LITTLE CONSCIOUS INTENTION.

A moving alert child has to navigate around considering the danger of collision and the efficiency of trajectories that avoid such collisions. In the case of a child and another human being, the first one must be attentive of the various possible relative human motions. A child has to learn how to reach goals avoiding danger along appropriate trajectories and finally should be effective for the case where trajectories should change because of the other human motion. The avoidance of collisions is learned by hebbian neural net mechanisms, that means, with little help of developed memory, which is almost absent during the first years of life. It may be a non-nconscious use of memory.

It is clear from various analysis of this type, that danger is much more general than initially suspected, and very many human "non-intentional" actions were learned from previous "leading cases" with a strong danger contribution.

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• scope
• experience and physical-psychophysics
• artificial intelligence and problem spaces
• operating systems and robots
• architecture, space and the hard problem
• danger perception
• visual attention
• attention networks
• brain develops mind
• internal clock
• distress and attention
• external--->information....internal--->danger experience
• Shannon's surprise
• binary strings and extreme danger
• danger feelings
• danger related steps towards consciousness
• physics, biology and consciousness
• starting with P-consciousness
• new models
• danger diagnostic and treatment as order parameters
• toward a theory of the brain?

16.feb.1999

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Glosario de Carlos von der Becke.