TY - JOUR
T1 - A logic for knowledge flow in social networks
AU - Ruan, Ji
AU - Thielscher, Michael
PY - 2011
Y1 - 2011
N2 - In this paper, we develop a formal framework for analysing the flow of information and knowledge through social networks. Specifically, we propose a multi-agent epistemic logic in which we can represent and reason about communicative actions based on social networks and the resulting knowledge and ignorance of agents. We apply this logic to formally analyse the "Revolt or Stay-at-home" problem known from the literature, where social networks play an important role in agents' knowledge acquisition and decision-making. We evaluate our work by proving some mathematical properties of our new logic, including the fact that it generalises the existing Logic of Public Announcement.
AB - In this paper, we develop a formal framework for analysing the flow of information and knowledge through social networks. Specifically, we propose a multi-agent epistemic logic in which we can represent and reason about communicative actions based on social networks and the resulting knowledge and ignorance of agents. We apply this logic to formally analyse the "Revolt or Stay-at-home" problem known from the literature, where social networks play an important role in agents' knowledge acquisition and decision-making. We evaluate our work by proving some mathematical properties of our new logic, including the fact that it generalises the existing Logic of Public Announcement.
UR - http://handle.uws.edu.au:8081/1959.7/550078
U2 - 10.1007/978-3-642-25832-9_52
DO - 10.1007/978-3-642-25832-9_52
M3 - Article
SN - 0302-9743
VL - 7106
SP - 511
EP - 520
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
ER -