Extended BDI framework for modelling human decision-making in complex automated manufacturing systems

X. Zhao, Young-Jun Son

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

This paper presents a novel software agent model to replace the partial decision-making function of a human. The proposed model, employing the belief, desire, intention (BDI) agent framework, is capable of (1) generating plans in real time, (2) supporting both the reactive and the proactive decision-making, (3) maintaining situation awareness in human language such as logic, and (4) changing the commitment strategy adaptive to historical performance. In this paper, the proposed model has been developed in the context of the human operator who is responsible for error detection and recovery in a complex automated manufacturing system. A distributed computing platform has been used to integrate an agent (implemented in JACK), real human, and the environment (Arena simulation software).

Original languageEnglish (US)
Pages (from-to)347-356
Number of pages10
JournalInternational Journal of Modelling and Simulation
Volume28
Issue number3
StatePublished - 2008

Fingerprint

Decision making
Decision Making
Modeling
Software agents
Error detection
Distributed computer systems
Error Recovery
Situation Awareness
Adaptive Strategies
Software Agents
Error Detection
Simulation Software
Distributed Computing
Integrate
Model
Logic
Partial
Human
Framework
Beliefs

Keywords

  • BDI agent
  • Error detection and recovery
  • Human decision-making model
  • LORA

ASJC Scopus subject areas

  • Hardware and Architecture
  • Modeling and Simulation
  • Software
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety

Cite this

@article{f97d2716d6964847ab3760f9a127494f,
title = "Extended BDI framework for modelling human decision-making in complex automated manufacturing systems",
abstract = "This paper presents a novel software agent model to replace the partial decision-making function of a human. The proposed model, employing the belief, desire, intention (BDI) agent framework, is capable of (1) generating plans in real time, (2) supporting both the reactive and the proactive decision-making, (3) maintaining situation awareness in human language such as logic, and (4) changing the commitment strategy adaptive to historical performance. In this paper, the proposed model has been developed in the context of the human operator who is responsible for error detection and recovery in a complex automated manufacturing system. A distributed computing platform has been used to integrate an agent (implemented in JACK), real human, and the environment (Arena simulation software).",
keywords = "BDI agent, Error detection and recovery, Human decision-making model, LORA",
author = "X. Zhao and Young-Jun Son",
year = "2008",
language = "English (US)",
volume = "28",
pages = "347--356",
journal = "International Journal of Modelling and Simulation",
issn = "0228-6203",
publisher = "ACTA Press",
number = "3",

}

TY - JOUR

T1 - Extended BDI framework for modelling human decision-making in complex automated manufacturing systems

AU - Zhao, X.

AU - Son, Young-Jun

PY - 2008

Y1 - 2008

N2 - This paper presents a novel software agent model to replace the partial decision-making function of a human. The proposed model, employing the belief, desire, intention (BDI) agent framework, is capable of (1) generating plans in real time, (2) supporting both the reactive and the proactive decision-making, (3) maintaining situation awareness in human language such as logic, and (4) changing the commitment strategy adaptive to historical performance. In this paper, the proposed model has been developed in the context of the human operator who is responsible for error detection and recovery in a complex automated manufacturing system. A distributed computing platform has been used to integrate an agent (implemented in JACK), real human, and the environment (Arena simulation software).

AB - This paper presents a novel software agent model to replace the partial decision-making function of a human. The proposed model, employing the belief, desire, intention (BDI) agent framework, is capable of (1) generating plans in real time, (2) supporting both the reactive and the proactive decision-making, (3) maintaining situation awareness in human language such as logic, and (4) changing the commitment strategy adaptive to historical performance. In this paper, the proposed model has been developed in the context of the human operator who is responsible for error detection and recovery in a complex automated manufacturing system. A distributed computing platform has been used to integrate an agent (implemented in JACK), real human, and the environment (Arena simulation software).

KW - BDI agent

KW - Error detection and recovery

KW - Human decision-making model

KW - LORA

UR - http://www.scopus.com/inward/record.url?scp=52049108105&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=52049108105&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:52049108105

VL - 28

SP - 347

EP - 356

JO - International Journal of Modelling and Simulation

JF - International Journal of Modelling and Simulation

SN - 0228-6203

IS - 3

ER -