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NEUROENERGETIC CONCEPT OF INTELLIGENCE

Conclusions

So, the main principles, which create premises for the consecutive self-organization of the neuronal automaton, are as follows:

1. The availability of object function (energy consumption), which is evaluated subjectively through the self-feeling, and basic opportunity of minimization of this function (optimization of self-feeling). The following points meet this principle in the concept:

ability of neurons to renew functionally;
existence of energetically optimal frequency of neuronal spikes.

2. Constructive diversity at the uniformity of elements, which permits in either case to bypass restrictions and to reduce energy consumption.

In the concept described all elements are uniform – only neurons and plastic interneuron links. The constructive diversity is provided due to the following:

the availability of interneuron links, which enable neurons to organize mutual aid;
the plasticity of interneuron links, which is controlled by neurons themselves with the purpose of achievement of optimal spike frequency;
the availability of inhibitory links, which creates the effect of ensembles' alternativity;
the existence of activity modulator – the emotional center.

3. The impossibility to achieve the minimum of object function by simple means because of numerous restrictions.

The choice of restrictions can be arbitrary enough, as far as it is determined by desired direction of self-organization and by desired secondary effects of self-organization, which we plan to receive. In given concept, aimed on the growing of intelligence, these restrictions are:

insufficiency of external feed;
unattainability of energetically optimal frequency of generation for isolated neuron;
impossibility to fix the beneficial operating modes (that is instability of decisions because of growing old effects).

The neuroenergetic concept of intelligence may be of special interest in two senses: applied, as one of directions in AI problem, and conceptual, i.e., in the sense of theoretical biology.

In AI the basic direction of investigations is the info-logical one, the main lack of which is the absence of active memory and inductive procedures. The above-considered direction of AI investigations one may define as biological one (or, more exactly, bio-logical or "the biologic"), and its main feature is the internal activity of the system and the presence of induction. In the outlook both directions may complete each other.

The intelligent automaton in the conceptual sense supposes the relation to itself as to the model of biological system. This means, that one should evaluate the potential application and sufficiency of model hypotheses by comparison of complete properties of biological system (in particular, of man) and of the automaton.

Some hypotheses in the concept may seem controversial enough. Nevertheless, such a union of hypotheses provides self-organization and interesting integral properties of the automaton, and should be evaluated from these positions. Also one should take into account, that the self-organization has two components – relatively fast ontogenetic, and slow philogenetic. The latter can consist either in natural selection of the organisms, most adapted to the environment, or in the external teleological interference of experimenter. Some aspects of the automaton's functioning were simulated on the computer, and received results confirm the productivity of proposed ideas.

 


 





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Last updated: July 05, 1998