By Germano Resconi
The e-book is at the geometry of agent wisdom. the $64000 notion studied during this booklet is the sector and its Geometric illustration. To improve a geometrical snapshot of the gravity , Einstein used Tensor Calculus yet this can be very varied from the information tools used now, as for example ideas of information mining , neural networks , formal inspiration research ,quantum laptop and different issues. the purpose of this booklet is to rebuild the tensor calculus on the way to supply a geometrical illustration of agent wisdom. by utilizing a brand new geometry of information we will be able to unify the entire subject matters which have been studied in recent times to create a bridge among the geometric illustration of the actual phenomena and the geometric illustration of the person and subjective wisdom of the brokers.
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It is a Similar Graph. 4 may be written as, Fig. 6 Representation of the transformation of the Tasks and Sources by use of the Operator P An agent of the Second Order can generate more complex transformations of the sources and the tasks. An agent of the Second Order can assemble tasks in clusters and then it is possible to consider all of the tasks in the same cluster as being equal. Here we have the transformation Fig. 7 Agents of the second order form clusters of tasks and sources in such a way that they have the same structure and repetition.
There is only one source which can be used in the different actions. For example in the node 2 the source S2 is repeated twice, One task is to obtain the task T1 and the other task is to obtain task T3. We can say that the transformation of the second order agent is a different allocation of tasks and sources using the same graph of actions. 12. Fig. 12 The Ordering of the sources and tasks using the transformation of the Second Order Agents obtained by use of the operators P and Q. The graph is invariant for Second Order Agent transformations.
Using a simple local rule D y = 0 we can generate and control the form in which y is constant. 4 Local and Global Coherence Principle 57 called the Global Entity. Similarly to Hoffman’s work we can say the following Geometric Invariance imposed upon a visual manifold by considering the perceptual constancies such as shape, size, colour, motion, are equivalent to the action of the local agents. These include neurons for example where D y = 0. The form obtained by the action of agents may be identified by the object for which y is invariant.