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A voice-assisted intelligent software architecture based on deep game network

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Abstract

The Video Game has been seen as the most demanding classical intelligence game for a long time search and difficulties in determining node location and movement. A new approach, Voice Assisted Virtual Game Architecture, is presented in this research to decide node assignments using Strategy Networks and Valuation Network (VVGA-SNVN) to pick movements. In this framework, Deep Neural networks are formed through a new combination of supervised learning and human sports reinforcement for studying self-play games. The neural networks play on the most advanced tree search programs simulating dozens of arbitrary self-play games without looking away. Besides, a new search algorithm combines the simulation of the algorithmic tree with strategy and valuation networks. This search's algorithm is thus obtained a 93% victory in terms of execution accuracy over other virtual games.

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Acknowledgements

This work was supported by Humanities and Social Sciences Projects of Jiangxi under Project No. GL19115, Key R&D Projects of Jiangxi under Project No. 20192BBHL80015, Jiangxi Principal Academic and Technical Leaders Program under Project No. 20194BCJ22015, and Science and Technology Research Projects of Jiangxi under project No. GJJ202905.

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Authors and Affiliations

  1. Center for Big Data Analytics, Jiangxi University of Engineering, Xinyu, 338029, People’s Republic of China

    Yanmei Huang

  2. College of Blockchain, Jiangxi University of Engineering, Xinyu, 338029, People’s Republic of China

    Qiang Mei

  3. School of Big Data and Computer, Jiangxi University of Engineering, Xinyu, 338029, People’s Republic of China

    Mulan Hu

  4. Veltech University, Chennai, India

    Thanjai Vadivel

  5. NITT Trichy, Tiruchirappalli, India

    A. Daison Raj

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  1. Yanmei Huang
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  2. Qiang Mei
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  3. Mulan Hu
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  4. Thanjai Vadivel
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  5. A. Daison Raj
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Correspondence to Yanmei Huang.

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Huang, Y., Mei, Q., Hu, M. et al. A voice-assisted intelligent software architecture based on deep game network. Int J Speech Technol 25, 421–433 (2022). https://doi.org/10.1007/s10772-021-09826-y

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