Abstract: Systems and methods for adaptive data processing associated with complex dynamics are provided. The method may include applying the two or more predictive algorithms or rule-sets to an atomized model to generate applied data models. After receipt of inputs, the method may further include processing at least two propositions during a learning mode based upon detection of an absolute pattern within the applied data models; wherein propositions are action proposals associated with each predictive algorithm. At least two propositions may compete against each other through the use of an associated rating cell, which may be updated based upon the detected patterns. The method may further include processing propositions during an execution mode based upon detection of an absolute condition, wherein the rating cells are updated based upon these detected conditions. Further, these updated rating cells may be provided as feedback to update the atomized model.

Abstract: A system and method of generating a Boolean network development environment for qualitative processing may include an alternative setup of NAND-gates implemented in a design to solve complex problems, such as image recognition and automatic decision making/categorization. The method may include initializing a network using a target bitstring and actuating binary propagation thereby, using a predetermined set of inputs to generate an output bitstring. Further, the method may include actuating binary feedback using the output bitstring. A source may be updated until the convergence of all values are completed, wherein the result is compared to the target bitstring.

Abstract: A system and method of generating a Boolean network development environment for qualitative processing may include an alternative setup of NAND-gates implemented in a design to solve complex problems, such as image recognition and automatic decision making/categorization. The method may include initializing a network using a target bitstring and actuating binary propagation thereby, using a predetermined set of inputs to generate an output bitstring. Further, the method may include actuating binary feedback using the output bitstring. A source may be updated until the convergence of all values are completed, wherein the result is compared to the target bitstring.

Abstract: Systems and methods for adaptive data processing associated with complex dynamics are provided. The method may include applying the two or more predictive algorithms or rule-sets to an atomized model to generate applied data models. After receipt of inputs, the method may further include processing at least two propositions during a learning mode based upon detection of an absolute pattern within the applied data models; wherein propositions are action proposals associated with each predictive algorithm. At least two propositions may compete against each other through the use of an associated rating cell, which may be updated based upon the detected patterns. The method may further include processing propositions during an execution mode based upon detection of an absolute condition, wherein the rating cells are updated based upon these detected conditions. Further, these updated rating cells may be provided as feedback to update the atomized model.

Abstract: A system and method for generating data for use in cryptography or secure modulation is provided. The method may include randomly generating a public code using a secret key, wherein the public code includes an interior matrix and a summing matrix, both having a predetermined dimension of rows and columns. After receipt of the public code and the rule of obfuscation by a receiving computer node, the method may further include generating an obfuscated matrix pattern from the interior matrix, based upon the rule of obfuscation. For symmetric key utilization, the receiving computing node can generate a symmetric code from the summing matrix, based upon the rule of obfuscation, which can be for use in communication between computing nodes. Alternatively, a server node can retrieve or generate the public code and the rule of obfuscation to the computing node. Thereby, each node is enabled to communicate privately with each other.

Abstract: A system and method for generating data for use in cryptography or secure modulation is provided. The method may include randomly generating a public code using a secret key, wherein the public code includes an interior matrix and a summing matrix, both having a predetermined dimension of rows and columns. After receipt of the public code and the rule of obfuscation by a receiving computer node, the method may further include generating an obfuscated matrix pattern from the interior matrix, based upon the rule of obfuscation. For symmetric key utilization, the receiving computing node can generate a symmetric code from the summing matrix, based upon the rule of obfuscation, which can be for use in communication between computing nodes. Alternatively, a server node can retrieve or generate the public code and the rule of obfuscation to the computing node. Thereby, each node is enabled to communicate privately with each other.