Electronics Optics & Control, Volume. 24, Issue 3, 11(2017)

An Emotional Intelligence Based Autonomous Decision-Making Method for UAVs

REN Tian-zhu1... ZHOU Rui1 and LI Hao2 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(7)

    [1] [1] Office of the Secretary of Defense.Unmanned aircraft systems roadmap 2005-2030[R].Washington: DOD,2005.

    [2] [2] BREHMER B.The dynamic OODA loop:amalgamating body's OODA loop and the cybernetic approach to command and control[C]//The 10th International Command and Control Research and Technology Symposium(ICCRTS), 2005:126-139.

    [4] [4] VENTURA R,FERREIR C P.Responding efficiently to relevant stimuli using an affect-based agent architecture[J].Neuro Computing,2009,72(13):923-930.

    [5] [5] ROSIS F D,PELACHAUD C,POGGI I,et al.From Greta's mind to her face:modelling the dynamics of affective states in a conversational embodied agent[J].International Journal of Human-Computer Studies,2003,59(1):81-118.

    [6] [6] SU C,LI H.Approaches to affective computing and learning towards interactive decision making in process control engineering[J].Acta Automatica Sinica,2013,39(5):617-625.

    [8] [8] MATSUDA A,MISAWA H,HORIO K.Decision making based on reinforcement learning and emotion learning for social behavior[C]//2011 IEEE International Conference on Fuzzy Systems (FUZZ),IEEE,2011:2714-2719.

    [10] [10] KOREN Y,BORENSTEIN J.Potential field methods and their inherent limitations for mobile robot navigation[C]//Proceedings of the IEEE Conference on Robotics and Automation,1991:1394-1404.

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    REN Tian-zhu, ZHOU Rui, LI Hao. An Emotional Intelligence Based Autonomous Decision-Making Method for UAVs[J]. Electronics Optics & Control, 2017, 24(3): 11

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    Paper Information

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    Received: Mar. 29, 2016

    Accepted: --

    Published Online: Apr. 10, 2017

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2017.03.003

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