• Login
    View Item 
    •   Home
    • Theses and Dissertations
    • Theses and Dissertations
    • View Item
    •   Home
    • Theses and Dissertations
    • Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of TUScholarShareCommunitiesDateAuthorsTitlesSubjectsGenresThis CollectionDateAuthorsTitlesSubjectsGenres

    My Account

    LoginRegister

    Help

    AboutPeoplePoliciesHelp for DepositorsData DepositFAQs

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Functionalist Emotion Model in Artificial General Intelligence

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Li_temple_0225E_14601.pdf
    Size:
    1.210Mb
    Format:
    PDF
    Download
    Genre
    Thesis/Dissertation
    Date
    2021
    Author
    Li, Xiang cc
    Advisor
    Wang, Pei, 1958-
    Gao, Hongchang
    Committee member
    Xie, Hongling
    Chella, Antonio
    Department
    Computer and Information Science
    Subject
    Artificial intelligence
    Artificial general intelligence
    Cognitive science
    Emotion
    OpenNARS
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/6888
    
    Metadata
    Show full item record
    DOI
    http://dx.doi.org/10.34944/dspace/6870
    Abstract
    The objective of this research is to elucidate motivation and emotion processing inan AGI (Artificial General Intelligence) system NARS (Non-Axiomatic Reasoning System). Under the basic assumption that an artificial general intelligence system should work with insufficient resources and knowledge, the emotion module can help direct the selection of internal tasks, and allow the autonomous allocation of internal resources and rapid response with urgency, so that the inference capability of AGI system can be improved. The psychological and AI theories related to emotion are extensively reviewed,including the source of emotion, the appraisal process in emotional experience, the cognitive processing and coping process, and the necessity of emotion for Artificial General Intelligence design. This dissertation describes the conceptual design, realization process and application process of emotion in NARS. The process of internal resource allocation triggeredby different emotions based on NARS reasoning framework is proposed, and the design can be applied to any scene. The similarity and difference between human emotion and artificial intelligence emotion are discussed. At the same time, the advantages and disadvantages of the design and its theory are also discussed. A recent implementation of the NARS model, will be discussed with examples. and the emotion model has been tested preliminarily in a new version of OpenNARS. New Temporal Induction model, Anticipation model, Goal processing model, and Emotion model which is implemented in the new system will also be discussed in detail. The dissertation concludes with suggestions and ideas that are put forward forthe role of emotion in future human-computer interaction.
    ADA compliance
    For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
    Collections
    Theses and Dissertations

    entitlement

     
    DSpace software (copyright © 2002 - 2022)  DuraSpace
    Temple University Libraries | 1900 N. 13th Street | Philadelphia, PA 19122
    (215) 204-8212 | scholarshare@temple.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.