DocumentCode :
2716200
Title :
Integrating reasoning with personality effects in simulated operators
Author :
Guo, Ruibiao J. ; Cain, Brad
Author_Institution :
CAE PS, Ottawa, Ottawa, ON, Canada
fYear :
2009
fDate :
8-10 July 2009
Firstpage :
1
Lastpage :
8
Abstract :
Human behaviour representation (HBR) is playing a significant role in Computer-Generated Forces (CGFs). However, current HBR lacks realistic and human-like characteristics, and many domain experts think that integrating personality and individual differences into existing simulation tools in CGFs is able to improve HBR. This article describes an approach to represent reasoning with personality effects in variable cognitive processes in CGFs. By combining the Integrated Performance Modelling Environment (IPME), the proposed representation provides a high level reasoning tool for human behaviour modelling. This approach deals with deterministic and uncertainty reasoning with influence of personality and supports user-defined personality models in simulated military operators. This research shows the possibility to integrate the reasoning with personality effects into performance simulation engines in CGFs for improving current HBR.
Keywords :
behavioural sciences computing; cognition; digital simulation; human factors; inference mechanisms; military computing; cognitive processes; computer-generated forces; deterministic reasoning; human behaviour modelling; human behaviour representation; integrated performance modelling environment; personality effects; reasoning tool; simulated military operators; simulated operators; simulation engines; simulation tools; uncertainty reasoning; Cognition; Computational modeling; Computer displays; Decision making; Engines; Fuzzy logic; Humans; Lamps; Military computing; Psychology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Security and Defense Applications, 2009. CISDA 2009. IEEE Symposium on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-3763-4
Electronic_ISBN :
978-1-4244-3764-1
Type :
conf
DOI :
10.1109/CISDA.2009.5356538
Filename :
5356538
Link To Document :
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