Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents

Jee Hang Lee, Sang Wan Lee, Julian Padget

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

1 Citation (SciVal)

Abstract

Social norms have a potential to contribute to advances in social intelligence. One approach to take this advantage in the design of virtual agents is the use of institutional models - a social reasoning framework which brings about social norms - in conjunction with classical AI techniques, to achieve the appropriate Recognition of complex situations and provide guidance on the subsequent choice of adequate action(s) with norms. In this paper, we aim to show that the combination of an institution providing social reasoning and BDI agents providing individual reasoning, establishes a framework for socially intelligent behaviour by the interplay between: (i) the institution and Intelligent Virtual Agents (IVAs), and (ii) norms maintained by the institution and the mental states of IVAs. From an engineering point of view, the framework provides a separation of concerns because the BDI agent is augmented with the capacity to process social obligations, while the specification and verification of social structure resides in the institutional models. We illustrate our approach with two scenarios: one on queuing and another on inter-personal distance theory.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherIEEE
Pages2466-2471
Number of pages6
ISBN (Electronic)9781538666500
DOIs
Publication statusPublished - 16 Jan 2019
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: 7 Oct 201810 Oct 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/TerritoryJapan
CityMiyazaki
Period7/10/1810/10/18

Funding

This work was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (No. 2017-0-00451), the ICT R&D program of MSIP/IITP. [2016-0-00563, Research on Adaptive Machine Learning Technology Development for Intelligent Autonomous Digital Companion], the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. NRF-2017R1C 1B 2008972), the research fund of the KAIST (Korea Advanced Institute of Science and Technology) (Grant code: G04150045), Samsung Research Funding Center of Samsung Electronics under Project Number SRFC-TC1603-06 and University of Bath Research Scholarship. *Corresponding Author.

Keywords

  • BDI Agent
  • IVA Architecture
  • Norm Reasoning
  • Normative Agent Behaviour

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction

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