A nondeterministic Turning machine (NTM) performs computations using a spatial binary enumeration system, a three-dimensional relation system, a simulated-human logic system, and a bijective-set memory system. The NTM may be used to perform a variety of computational tasks, such as multiple sequence alignment, factorization, and other nondeterministic polynomial algorithms in polynomial time. The NTM may be constructed by a deterministic Turing machine (DTM) using the four systems listed above.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A device comprising: a knowledgebase containing data representing a plurality of objects, data representing a plurality of classes, and data representing relationships between the plurality of objects and the plurality of classes; an induction module comprising means for generating data representing a concept represented by a plurality of inputs representing a plurality of objects and for storing the data representing the concept in the knowledgebase; a deduction module for retrieving, from the knowledgebase, data representing a class containing an object represented by an input to the deduction module; a reduction module for retrieving, from the knowledgebase, data representing an object which is a member of a class represented by an input to the reduction module; wherein the data representing the plurality of objects represent the plurality of objects in the form of three-dimensional representations of binary numbers; and wherein the data representing the plurality of classes represent the plurality of classes in the form of three-dimensional representations of binary numbers. 2. The device of claim 1, further comprising: a cognitive logic unit comprising means for receiving an input and for triggering the induction module to perform induction on the input and on data stored in the knowledgebase to generate a representation of a class containing an object represented by the input. 3. The device of claim 1, further comprising: a cognitive logic unit comprising means for receiving an input and for triggering the deduction module to perform deduction on the input and on data stored in the knowledgebase to retrieve, from the knowledgebase, data representing a class containing an object represented by the input. 4. The device of claim 1, further comprising: a cognitive logic unit comprising means for receiving an input and for triggering the reduction module to perform deduction on the input and on data stored in the knowledgebase to retrieve, from the knowledgebase, data representing an object which is a member of a class represented by the input. 5. The device of claim 1, wherein the deduction module comprises means for retrieving the data representing the class by performing a set operation on data in the knowledgebase. 6. The device of claim 1, wherein the reduction module comprises means for retrieving the data representing the object by performing a set operation on data in the knowledgebase. 7. A method for use with a system including a knowledgebase, wherein the knowledgebase contains data representing a plurality of objects, data representing a plurality of classes, and data representing relationships between the plurality of objects and the plurality of classes, wherein the method comprises: generating data representing a concept represented by a plurality of inputs representing a plurality of objects and for storing the data representing the concept in the knowledgebase; retrieving, from the knowledgebase, data representing a class containing an object represented by an input to the deduction module; retrieving, from the knowledgebase, data representing an object which is a member of a class represented by an input to the reduction module; wherein the data representing the plurality of objects represent the plurality of objects in the form of three-dimensional representations of binary numbers; and wherein the data representing the plurality of classes represent the plurality of classes in the form of three-dimensional representations of binary numbers. 8. The method of claim 7, further comprising: receiving an input and for triggering the induction module to perform induction on the input and on data stored in the knowledgebase to generate a representation of a class containing an object represented by the input. 9. The method of claim 7, further comprising: receiving an input and for triggering the deduction module to perform deduction on the input and on data stored in the knowledgebase to retrieve, from the knowledgebase, data representing a class containing an object represented by the input. 10. The method of claim 7, further comprising: receiving an input and for triggering the reduction module to perform deduction on the input and on data stored in the knowledgebase to retrieve, from the knowledgebase, data representing an object which is a member of a class represented by the input. 11. The method of claim 7, wherein retrieving the data representing the class comprises performing a set operation on data in the knowledgebase. 12. The method of claim 7, wherein retrieving the data representing the object comprises performing a set operation on data in the knowledgebase.