DocumentCode :
2844249
Title :
Experience based reasoning for recognising fraud and deception
Author :
Sun, Zhaohao ; Finnie, Gavin
Author_Institution :
Sch. of Econ. & Inf. Syst., Wollongong Univ., NSW, Australia
fYear :
2004
fDate :
5-8 Dec. 2004
Firstpage :
80
Lastpage :
85
Abstract :
Fraud, deception and their recognition have received increasing attention in multiagent systems (MAS), e-commerce, and agent societies. However, little attention has been given to the theoretical foundation for fraud and deception from a logical viewpoint. We fill this gap by arguing that experience-based reasoning (EBR) is a logical foundation for recognizing fraud and deception. It provides a logical analysis of deception, which classifies recognition of deception into knowledge-based deception recognition, inference-based deception recognition, and hybrid deception recognition. It will examine the relationship between EBR and fraud as well as deception. It uses EBR to recognize fraud and deception in e-commerce and MAS. The proposed approach will facilitate research and development of recognition of fraud and deception in e-commerce.
Keywords :
case-based reasoning; electronic commerce; fraud; multi-agent systems; security of data; agent societies; case-based reasoning; e-commerce; experience based reasoning; fraud recognition; hybrid deception recognition; inference-based deception recognition; knowledge-based deception recognition; logical deception analysis; multiagent systems; Artificial intelligence; Australia; Books; Humans; Information systems; Information technology; Intelligent agent; Internet; Knowledge based systems; Sun; Fraud; deception; e-commerce; experience-based reasoning; multiagent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on
Print_ISBN :
0-7695-2291-2
Type :
conf
DOI :
10.1109/ICHIS.2004.43
Filename :
1409985
Link To Document :
بازگشت