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.
| Language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
| Publisher | IEEE |
| Pages | 2466-2471 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538666500 |
| DOIs | |
| Status | Published - 16 Jan 2019 |
| Event | 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan Duration: 7 Oct 2018 → 10 Oct 2018 |
Conference
| Conference | 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
|---|---|
| Country | Japan |
| City | Miyazaki |
| Period | 7/10/18 → 10/10/18 |
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
Cite this
Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents. / Lee, Jee Hang; Lee, Sang Wan; Padget, Julian.
Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. IEEE, 2019. p. 2466-2471 8616419.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents
AU - Lee, Jee Hang
AU - Lee, Sang Wan
AU - Padget, Julian
PY - 2019/1/16
Y1 - 2019/1/16
N2 - 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.
AB - 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.
KW - BDI Agent
KW - IVA Architecture
KW - Norm Reasoning
KW - Normative Agent Behaviour
UR - http://www.scopus.com/inward/record.url?scp=85062213586&partnerID=8YFLogxK
U2 - 10.1109/SMC.2018.00423
DO - 10.1109/SMC.2018.00423
M3 - Conference contribution
SP - 2466
EP - 2471
BT - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PB - IEEE
ER -