Research on internet information mining based on agent algorithm

Wu, Shaofei; Wang, Mingqing; Zou, Yuntao

doi:10.1016/j.future.2018.04.040

Cited by 121 publications

(29 citation statements)

References 2 publications

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“…1,2 At present, the subject of high challenge has received extensive attention and research. 3,4,5 However, the process of robot soccer match is complex, dynamic and uncertain, which makes the decision-making system based on expert knowledge is lack sufficient completeness and flexibility to deal the process of the complex, dynamic and uncertain of robot football game, however, the reinforcement learning method does not need accurate environment model and complete expert knowledge. Robots learn decision-making ability and behaviour ability through interaction with environment in competition, so it provides a new way for the research of multi-robot system.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Research on decision-making strategy of soccer robot based on multi-agent reinforcement learning

Liu

2020

International Journal of Advanced Robotic Systems

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This article studies a multi-agent reinforcement learning algorithm based on agent action prediction. In multi-agent system, the action of learning agent selection is inevitably affected by the action of other agents, so the reinforcement learning system needs to consider the joint state and joint action of multi-agent based on this. In addition, the application of this method in the cooperative strategy learning of soccer robot is studied, so that the multi-agent system can pass through the environment. To realize the division of labour and cooperation of multi-robots, the interactive learning is used to master the behaviour strategy. Combined with the characteristics of decision-making of soccer robot, this article analyses the role transformation and experience sharing of multi-agent reinforcement learning, and applies it to the local attack strategy of soccer robot, uses this algorithm to learn the action selection strategy of the main robot in the team, and uses Matlab platform for simulation verification. The experimental results prove the effectiveness of the research method, and the superiority of the proposed method is validated compared with some simple methods.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Research on decision-making strategy of soccer robot based on multi-agent reinforcement learning

Liu

2020

International Journal of Advanced Robotic Systems

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“…By analyzing their frequency response amplitude characteristics, it can be found that the rectangular window has good spectral smoothing performance, but the side lobe is too high, which may cause spectrum leakage and loss of high-frequency components. The Haning window decays too quickly and the low-pass characteristics are not smooth; the Hamming window is widely used because of its smooth low-pass characteristics and because it has the lowest side lobe height [ 6 ].…”

Section: Methodsmentioning

confidence: 99%

Application of an Isolated Word Speech Recognition System in the Field of Mental Health Consultation: Development and Usability Study

2020

JMIR Med Inform

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Background Speech recognition is a technology that enables machines to understand human language. Objective In this study, speech recognition of isolated words from a small vocabulary was applied to the field of mental health counseling. Methods A software platform was used to establish a human-machine chat for psychological counselling. The software uses voice recognition technology to decode the user's voice information. The software system analyzes and processes the user's voice information according to many internal related databases, and then gives the user accurate feedback. For users who need psychological treatment, the system provides them with psychological education. Results The speech recognition system included features such as speech extraction, endpoint detection, feature value extraction, training data, and speech recognition. Conclusions The Hidden Markov Model was adopted, based on multithread programming under a VC2005 compilation environment, to realize the parallel operation of the algorithm and improve the efficiency of speech recognition. After the design was completed, simulation debugging was performed in the laboratory. The experimental results showed that the designed program met the basic requirements of a speech recognition system.

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“…Cluster and neural network analysis can assess the use of ICT and the possibility of cross-country interactions. Cluster analysis displays features of multidimensionality in the classification procedure of phenomena (objects) (Wu, Wang, & Zou, 2018) The cluster analysis unites groups of phenomena with the minimum distance between them. There are different rules for determining the distance between clusters.…”

Section: Methodsmentioning

confidence: 99%

Country Definition And Directions' Choice Of International Cooperation In The Ict Development

Смирнов¹

2019

The European Proceedings of Social and Behavioural Sciences

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Research on internet information mining based on agent algorithm

Cited by 121 publications

References 2 publications

RETRACTED: Research on decision-making strategy of soccer robot based on multi-agent reinforcement learning

RETRACTED: Research on decision-making strategy of soccer robot based on multi-agent reinforcement learning

Application of an Isolated Word Speech Recognition System in the Field of Mental Health Consultation: Development and Usability Study

Country Definition And Directions' Choice Of International Cooperation In The Ict Development

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