Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CISDA.2014.7035644 | Computational Intelligence for Security and Defense Applications |
Keywords | Field | DocType |
evolutionary computation,game theory,CRT-based trust model,computational intelligence techniques,computational red teaming game theory,deception,trust concept,trust dynamics,trust influence,trust transfer,ubiquitous concept,Computational Red Teaming,Trust Evolutionary Game Theory | Data science,Computational intelligence,Computer security,Deception,Computer science,Interpersonal relationship,Game theoretic,Artificial intelligence,Computational trust,Evolutionary game theory,Machine learning | Conference |
Citations | PageRank | References |
5 | 0.64 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eleni Petraki | 1 | 19 | 6.20 |
| Hussein A. Abbass | 2 | 1503 | 144.85 |