Sense Theory. Sense Antiderivative release_z4t6vhfwsra7tkfzexdu4pkdoa

by Egger L. Mielberg

Released as a post by Center for Open Science.

2020  

Abstract

Like each neuron of the human brain may be connected to up to 10,000other neurons, passing signals to each other via as many as 1,000 trillionsynaptic connections, in Sense Theory there is a possibility for connectingover 1,000 trillion heterogeneous objects. An object in Sense Theory is likea neuron in the human brain. Properties of the object are like dendrites ofthe neuron. Changing object in the process of addition or deletion of itsproperties is like forming a new knowledge in the process of synapticconnections of two or more neurons. In Sense Theory, we introduced amechanism for determining possible semantic relationships betweenobjects by connecting-disconnecting different properties. This mechanismis Sense Integral.In this article, we describe one of the instruments, sense antiderivative, thatsheds light on the nature of forming new knowledge in the field of ArtificialIntelligence.
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