An Artificial Neural Network Approach for Creating an Ethical Artificial Agent

被引:0
|
作者
Honarvar, Ali Reza [1 ]
Ghasem-Aghaee, Nasser [2 ]
机构
[1] Islamic Azad Univ, Dept Comp Engn, Arsanjan Branch, Arsanjan, Fars, Iran
[2] Univ Isfahan, Sheikh Bahaei Univ, Dept Comp Engn, \ Esfahan, Iran
关键词
Artificial ethical agent; ethical reasoning; AMA; BDI-Agent; machine ethics; artificial neural network;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Autonomous robotic systems and intelligent artificial agents' capability have advanced dramatically. Since the intelligent artificial agents have been developing more autonomous and human-like, the capability of them to make moral decisions becomes an important issue. In this work we developed an artificial neutral network which considered various effective factors for ethical assessment of an action to determine that if a behavior or an action is ethically permissible or not. We integrated this net to the BDI-Agent model as a part of its reasoning process to behave ethically in various environments.
引用
收藏
页码:290 / +
页数:2
相关论文
共 50 条
  • [31] An Artificial Neural Network Approach for Underwater Warp Prediction
    Halder, Kalyan Kumar
    Tahtali, Murat
    Anavatti, Sreenatha G.
    ARTIFICIAL INTELLIGENCE: METHODS AND APPLICATIONS, 2014, 8445 : 384 - 394
  • [32] Pavement friction management - artificial neural network approach
    Najafi, Shahriar
    Flintsch, Gerardo W.
    Khaleghian, Seyedmeysam
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2019, 20 (02) : 125 - 135
  • [33] Face detection using artificial neural network approach
    Nazeer, Shahrin Azuan
    Omar, Nazaruddin
    Jumare, Khairol Faisal
    Khalid, Marzuki
    AMS 2007: FIRST ASIA INTERNATIONAL CONFERENCE ON MODELLING & SIMULATION ASIA MODELLING SYMPOSIUM, PROCEEDINGS, 2007, : 394 - +
  • [34] An artificial neural network approach to automatic speech processing
    Siniscalchi, Sabato Marco
    Svendsen, Torbjorn
    Lee, Chin-Hui
    NEUROCOMPUTING, 2014, 140 : 326 - 338
  • [35] Offline Signature Recognition: Artificial Neural Network Approach
    Deore, Madhuri R.
    Handore, Shubhangi M.
    2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2015, : 1708 - 1712
  • [36] An artificial neural network approach for the language learning model
    Sabir, Zulqurnain
    Ben Said, Salem
    Al-Mdallal, Qasem
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [37] A Modularization Hardware Implementation Approach for Artificial Neural Network
    Wang, Tong
    Wang, Lianming
    PROCEEDINGS OF THE 2015 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER ENGINEERING AND ELECTRONICS (ICECEE 2015), 2015, 24 : 670 - 675
  • [38] River flow prediction: an artificial neural network approach
    Jayawardena, AW
    Fernando, TMKG
    REGIONAL MANAGEMENT OF WATER RESOURCES, 2001, (268): : 239 - 245
  • [39] AN ARTIFICIAL NEURAL-NETWORK APPROACH TO ERP CLASSIFICATION
    GUPTA, L
    MOLFESE, DL
    TAMMANA, R
    BRAIN AND COGNITION, 1995, 27 (03) : 311 - 330
  • [40] Artificial Neural Network Approach for Modeling of Photovoltaic Module
    Khera, Neeraj
    Shukla, Divya
    Kumar, Vipul
    2017 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2017, : 237 - 240