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Development Support Mechanism for Deep Learning Agent on DASH Agent Framework

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Complex, Intelligent, and Software Intensive Systems (CISIS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 611))

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Abstract

Agent-Oriented Computing is an effective method introduced in recent years to meet diverse needs. For such computing, we use the DASH agent framework, which can develop an agent with learning capability. However, it is difficult to develop a versatile agent for applications such as image recognition and speech recognition using the current development environment. Deep learning can be used to resolve this difficulty. Using deep learning is difficult for ordinary developers because it requires detailed knowledge. Therefore, we propose development support of a “deep learning agent” to simplify development by ordinary developers.

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References

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Authors and Affiliations

  1. Nagoya Institute of Technology, Gokiso-chou, Showa-ku, Nagoya, 466-8555, Japan

    Kento Watanabe, Takahiro Uchiya & Ichi Takumi

  2. Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan

    Tetsuo Kinoshita

Authors
  1. Kento Watanabe
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  2. Takahiro Uchiya
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  3. Ichi Takumi
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  4. Tetsuo Kinoshita
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Corresponding author

Correspondence to Kento Watanabe .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Politècnico di Torino, Istituto Superiore Mario Boella, Turin, Italy

    Olivier Terzo

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Watanabe, K., Uchiya, T., Takumi, I., Kinoshita, T. (2018). Development Support Mechanism for Deep Learning Agent on DASH Agent Framework. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_48

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  • DOI: https://doi.org/10.1007/978-3-319-61566-0_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61565-3

  • Online ISBN: 978-3-319-61566-0

  • eBook Packages: EngineeringEngineering (R0)

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