Title :
Employing Rough Sets for Modeling Agent Trust
Author :
Letia, l.A. ; Slavescu, Radu Razvan
Author_Institution :
Tech. Univ. of Cluj-Napoca, Cluj-Napoca
Abstract :
Predicting agent´s future behavior is essential for developing reliable cooperation relationships. This could be achieved by discovering the existing patterns within the agents´ past behavior. This paper presents a rough set based approach for tackling this problem, as well as a way to use the identified patterns, inform of rules, for making decisions in a competitive environment.
Keywords :
decision making; learning (artificial intelligence); rough set theory; agent trust modeling; cooperation relationships; decision making; rough sets; rough sets based learning; Appraisal; Computer science; Decision making; History; Painting; Predictive models; Robustness; Rough sets; Testing;
Conference_Titel :
Intelligent Computer Communication and Processing, 2007 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-1491-8
DOI :
10.1109/ICCP.2007.4352165
