TY - GEN
T1 - On Trust and Influence
T2 - 7th IEEE Symposium on Computational Intelligence for Security and Defence Applications
AU - PETRAKI, Eleni
AU - Abbass, Hussein Aly
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/2/6
Y1 - 2015/2/6
N2 - The concept of trust has attracted the attention of many researchers over the years who studied the impact of trust in many domains. Trust is a ubiquitous concept. It is pervasive in every aspect of our life, from interpersonal relationships to national defence and security applications. However, despite the vast literature on trust, we are not close enough to mastering the dynamics of trust. One reason is that if we define procedural steps for trust, we simultaneously define steps for deception; thus, we simply define a vacuous cycle. Another reason is that, the dynamics of trust change as the world changes. But how can we then study trust? This paper connects the interdisciplinary literature to synthesize a Computational Red Teaming (CRT) based model of trust that defines opportunities whereby computational intelligence techniques, more specifically, evolutionary game theory researchers, can contribute to this vastly growing research area. We offer a position on the topic by reviewing games for trust and introduce a new theoretic game to study influence and transfer of trust.
AB - The concept of trust has attracted the attention of many researchers over the years who studied the impact of trust in many domains. Trust is a ubiquitous concept. It is pervasive in every aspect of our life, from interpersonal relationships to national defence and security applications. However, despite the vast literature on trust, we are not close enough to mastering the dynamics of trust. One reason is that if we define procedural steps for trust, we simultaneously define steps for deception; thus, we simply define a vacuous cycle. Another reason is that, the dynamics of trust change as the world changes. But how can we then study trust? This paper connects the interdisciplinary literature to synthesize a Computational Red Teaming (CRT) based model of trust that defines opportunities whereby computational intelligence techniques, more specifically, evolutionary game theory researchers, can contribute to this vastly growing research area. We offer a position on the topic by reviewing games for trust and introduce a new theoretic game to study influence and transfer of trust.
KW - Trust
KW - Evolutionary Game Theory
KW - Computational Red Teaming
KW - Trust Evolutionary Game Theory
UR - http://www.scopus.com/inward/record.url?scp=84924322811&partnerID=8YFLogxK
U2 - 10.1109/CISDA.2014.7035644
DO - 10.1109/CISDA.2014.7035644
M3 - Conference contribution
SN - 9781479954315
T3 - Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014
SP - 1
EP - 7
BT - Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications
A2 - Bui, L
A2 - Abbas, H
A2 - Abielmona, R
A2 - Namatame, A
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - USA
Y2 - 14 December 2014 through 17 December 2014
ER -