TY - GEN
T1 - An empirical evaluation of geometric subjective logic operators
AU - Cerutti, Federico
AU - Toniolo, Alice
AU - Oren, Nir
AU - Norman, Timothy J.
N1 - The authors thank the anonymous reviewers for their helpfulcomments.
Research was sponsored by US Army Research laboratory and the UK Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the US Army Research Laboratory, the U.S. Government, the UK Ministry of Defense, or the UK Government. The US and UK Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.
PY - 2013
Y1 - 2013
N2 - Computational trust mechanisms aim to produce a trust rating from both direct and indirect information about agents behaviour. Jøsang's Subjective Logic has been widely adopted as the core of such systems via its fusion and discount operators. Recently we proposed an operator for discounting opinions based on geometrical properties, and, continuing this line of investigation, this paper describes a new geometry based fusion operator. We evaluate this fusion operator together with our geometric discount operator in the context of a trust system, and show that our operators outperform those originally described by Jøsang. A core advantage of our work is that these operators can be used without modifying the remainder of the trust and reputation system.
AB - Computational trust mechanisms aim to produce a trust rating from both direct and indirect information about agents behaviour. Jøsang's Subjective Logic has been widely adopted as the core of such systems via its fusion and discount operators. Recently we proposed an operator for discounting opinions based on geometrical properties, and, continuing this line of investigation, this paper describes a new geometry based fusion operator. We evaluate this fusion operator together with our geometric discount operator in the context of a trust system, and show that our operators outperform those originally described by Jøsang. A core advantage of our work is that these operators can be used without modifying the remainder of the trust and reputation system.
UR - http://www.scopus.com/inward/record.url?scp=84881171148&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39860-5_8
DO - 10.1007/978-3-642-39860-5_8
M3 - Published conference contribution
AN - SCOPUS:84881171148
SN - 9783642398599
VL - 8068 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 104
BT - Agreement Technologies
A2 - Chesñevar, Carlos Iván
A2 - Onaindia, Eva
A2 - Ossowski, Sascha
A2 - Vouros, George
PB - Springer-Verlag
T2 - 2nd International Conference on Agreement Technologies, AT 2013
Y2 - 1 August 2013 through 2 August 2013
ER -