Smart home decision-making method based on Markov logic network

Abstract

The invention discloses a smart home decision-making method based on a Markov logic network. The method can be used for solving the problem of uncertainty of intelligent control achieved according touser preferences and environment temperature after a user sends out voice control and natural language processing is conducted, and the uncertainty of the method is due to the fact that evidences provided in the decision making process, namely environment information, are fuzzy. Application of Markov logic network module is the core of the whole method, and the final purpose of realizing decisionmodeling by using an influence graph is realized. According to the method, the weight corresponding to each decision rule is calculated according to parameter learning of the Markov logic network, aninfluence graph model in a specific scene is realized, the maximum expected utility of each decision is calculated, a decision framework in an uncertain intelligent environment is expanded, and the probability of adopting an optimal decision is improved.

Description

technical field [0001] The invention relates to a method for establishing a decision-making model of an influence graph based on a Markov logic network, specifically judging the best decision-making in a smart home environment according to the expected utility of each decision-making. Background technique [0002] With the continuous development and progress of the smart home, the smart controller can make appropriate decisions according to the environment after the user sends a request. This requires an advance perception of the user's activity location at this time, which not only helps to trigger a decision, but also helps make the decision adapt to the activity environment at this time. Therefore, the researchers proposed the concept of context awareness. Context is any information that can be used to describe the status of an entity. Generally speaking, the state of the environment and the location of the user are elements of the context. On this basis, the present inv...

AI Technical Summary

Problems solved by technology

However, due to the complexity of the environment and the diversity of user behaviors, the decision-making will be more complicated. Therefore, in order to solve the uncertainty of the evidence, a decision-making based on Markov logic network is proposed, which is a model composed of weighted logic rules. Statistical methods for making probabilistic inferences

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