Discrete K-valued Logic for Multi-parametrical Modeling of a Robotic Agent

Bykovsky, Alexey Yu.

doi:10.1016/j.phpro.2015.09.167

Cited by 2 publications

(4 citation statements)

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“…As the variable is not used in the first product term, according to [71], it should be rewritten as The procedure for the minimization of given MVL functions was defined in [71], and it was further commented on in [107,108]. It is based on the use of so-called "don't care states" (DCS), which are the non-defined or vacuous rows of the truth table, where column cells should be filled Example 2 further demonstrates the calculation of consensus for two product terms.…”

Section: The Minimization Methods For Aga Functionsmentioning

confidence: 99%

“…The procedure for the minimization of given MVL functions was defined in [71], and it was further commented on in [107,108]. It is based on the use of so-called "don't care states" (DCS), which are the non-defined or vacuous rows of the truth table, where y column cells should be filled by a k − 1 constant.…”

Section: Example 2 Lets Us Calculate the Consensus For Product Termsmentioning

confidence: 99%

“…The given above method is bulky and cumbersome, even for small-scale examples [107,108]. Typical problems of the MVL minimization are demonstrated for the model function…”

mentioning

confidence: 99%

“…Of course, the random choice of the limited number of DCS does not guarantee the best result and needs to be analyzed more thoroughly. As it was shown in [108], the choice of DCS should be regarded as a multi-criteria task, which for real physical variables should be done elaborately, basing on Pareto optimization methods. Potentially, methods of image processing seem to be useful here, too.…”

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confidence: 99%

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Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Bykovsky

2020

Quantum Reports

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Quantum optics is regarded as the acknowledged method to provide network quantum keys distribution and in the future secure distributed quantum computing, but it should also provide cryptography protection for mobile robots and the Internet of Things (IoT). This task requires the design of new secret coding schemes, which can be also based on multiple-valued logic (MVL). However, this very specific logic model reveals new possibilities for the hierarchical data clustering of arbitrary data sets. The minimization of multiple-valued logic functions is proposed for the analysis of aggregated objects, which is possible for an arbitrary number of variables. In order to use all the useful properties of the multiple-valued logic, the heterogeneous network architecture is proposed, which includes three allocated levels of artificial intelligence (AI) logic modeling for discrete multiple-valued logic, Boolean logic, and fuzzy logic. Multiple-valued logic is regarded as the possible platform for additional secret coding, data aggregation, and communications, which are provided by the united high dimensional space for network addressing and the targeted control of robotic devices. Models of Boolean and fuzzy logic are regarded as separate logic levels in order to simplify the integration of various algorithms and provide control of additional data protection means for robotic agents.

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Section: The Minimization Methods For Aga Functionsmentioning

confidence: 99%

Section: Example 2 Lets Us Calculate the Consensus For Product Termsmentioning

confidence: 99%

“…The given above method is bulky and cumbersome, even for small-scale examples [107,108]. Typical problems of the MVL minimization are demonstrated for the model function…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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