Development support mechanism for deep learning agent on DASH agent framework

Kento Watanabe, Takahiro Uchiya, Ichi Takumi, Tetsuo Kinoshita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationComplex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
EditorsLeonard Barolli, Olivier Terzo
PublisherSpringer Verlag
Pages526-534
Number of pages9
ISBN (Print)9783319615653
DOIs
Publication statusPublished - 2018
Event11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 - Torino, Italy
Duration: 2017 Jul 102017 Jul 12

Publication series

NameAdvances in Intelligent Systems and Computing
Volume611
ISSN (Print)2194-5357

Other

Other11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
CountryItaly
CityTorino
Period17/7/1017/7/12

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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