Thursday, January 29, 2009

AWT and definition of intelligence

By AWT correct - i.e. physically relevant - definition of intelligence is rather important, as it can give us a clue about direction of psychological time arrow.

From certain perspective every free particle appears like quite intelligent "creature", because it can find the path of the optimal potential gradient unmistakably even inside of highly dimensional field where interactions of many particles overlaps mutually. Whereas single particle is rather "silly" and it can follow just a narrow density gradient, complex multidimensional fluctuations of Aether can follow a complex gradients and they can even avoid a wrong path or obstacles at certain extent. They're "farseeing" and "intelligent". Note that the traveling of particle along density gradient leads into gradual dissolving of it and "death". The same forces, which are keeping the particle in motion will lead to its gradual disintegration of it.

The ability of people to make correct decisions in such fuzzy environment is usually connected with social intelligence. We can say, motion of particle is fully driven by its "intuition". They can react fast in many time dimensions symmetrically (congruently), whereas their ability to interact with future (i.e. ability of predictions) still remains very low, accordingly to low (but nonzero) memory capacity of single gradient particle. Nested clusters of many particles are the more clever, the more hidden dimensions are formed by. Electrochemical waves of neural system activity should form a highly nested systems of energy density fluctuations.

Neverthelles, if we consider intelligence as "an ability to obtain new abilities", then the learning ability and memory capacity of single level density fluctuations still remains very low. Every particle has a surface gradient from perspective of single level of particle fluctuations, so it has an memory (compacted space-time dimensions) as well. Therefore for single object we can postulate the number of nested dimensions inside of object as a general criterion of intelligence. The highly compactified character of neuron network enables people to handle a deep level of mutual implications, i.e. manifolds of causual space defined by implication tensors of high order. Such definition remains symmetrical, i.e. invariant to both intuitive behaviour driven by parallel logics, both conscious behaviour, driven by sequential logics.

Every highly condensed system becomes chaotic, because intelligent activities of individual particles are temporal and they're compensating mutually here. By such way, the behavior of human civilization doesn't differ very much from behavior of dense gas, as we can see from history of wars and economical crisis, for instance. The ability of people to drive the evolution of their own society is still quite limited in general. We can consider such ability as a criterion of social self-awareness. The process of phase transition corresponds learning phase of multi-particle system.

Interesting point is, individual members of such systems may not be aware of incoming phase transition, because theirs space-time expands (the environment becomes more dense) together with these intelligent artifacts. At certain moment the environment becomes more conscious (i.e. negentropic), then the particle system formed by it and phase transition will occur. The well known superfluidity and superconductivity phenomena followed by formation of boson condensate can serve as a physical analogy of sectarian community formation, separated from the needs/feedback of rest of society. Members of community can be internally characterized by their high level of censorship (total reflection phenomena with respect to information spreading) and by superfluous homogeneity of individual stance distribution, followed by rigidity and fragility of their opinions (i.e. by duality of odd and even derivations in space and time) from outside perspective.

AWT explains, how even subtle forces of interests between individuals crowded around common targets cumulate under emergence of irrational behavior gradually. Because such environment becomes more dense, the space-time dilatation occurs here and everything vents OK from insintric perspective. As the result, nobody from sectarian community will realize, he just lost control over situation.

For example, people preparing LHC experiments cannot be accused from evil motives - they just want to do some interesting measurements on LHC, to finish their dissertations, make some money in attractive job, nurse children, learn French, and so on… Just innocent wishes all the time, am I right? But as a whole their community has omitted serious precautionary principles under hope, successful end justifies the means.

Particle model explains, how even subtle forces of interests between individuals crowded around common targets cumulate under emergence of irrational behavior gradually. For example, nobody of this community has taken care about difference in charged and neutral black holes in their ability to swallow surrounding matter. As a result, nobody of members of such community realizes consequence of his behavior until very end.

And this is quite silly and unscouscios behavior, indeed.

1 comment:

Zephir said...


In dense aether theory the thinking of people is affected by information spreading in two ways, which are analogous to energy spreading in every inhomogeneous environment. Informations, which are spreading along causal gradients like transversal waves correspond the thinking in well established schemes, i.e. theories and moral laws. The informations, which are spreading outside of these gradients correspond the spreading of weak sound waves through underwater. We can compare them to unconscious decisions and instincts. A brilliant mathematician can navigate through causal space deeply along well defined logical paths, but it could still remain quite biased regarding various decisions involving fuzzy logics.

After then the definition of intelligence is simple: it's the ability to collect and consider as large volume of informations as possible. Such approach often doesn't require deep thinking - rather the ability to consider many distributed sources of informations at the same moment.