Rui Zhu
Supervised by
Dr. Jeremy Seligman
Department of Philosophy, Humanities, UNIVERSITY OF AUCKALND
A model $m = (f, k)$ is a tuple where $f$ represents a social network and function $k$ represent an epistemic distribution .
Currently we do not know if $\mathsf{APAL}$ has finitary axiomatization. The following rule does not preserve validity.
From $ \langle \chi\rangle\langle q\rangle\phi\rightarrow\psi$, infer $ \langle \chi\rangle\Diamond\phi\rightarrow\psi$The logic of $L_{SAL}$ is not compact. Here are two counterexamples.
$\{\langle a\rangle(B_{a}\bot \wedge \neg B_{b}\bot), \langle a\rangle B_{b}\bot \}\cup \{\neg B_{a}\theta ~~|~~ \theta~~is~~not~~an~~instance ~~of~~tautology~~\}$we test the following set of formulas: \[ \{ \langle a!\rangle B_{b}q \wedge \neg B_{b}q, ~~~~ [a:p]\neg B_{b}p\} \\ \Rightarrow unsatisfiable. \\ \{ \langle a!\rangle (B_{b}q \wedge \neg B_{c}r), ~~~~ \langle b!p\rangle (B_{c}p \wedge \neg B_{a}p), ~~~[a:r](\neg B_{b}r \wedge B_{c}r) \} \\ \Rightarrow \{cFa, \neg aFb, \neg bFa, B_{b}p \} \]
We define five coherences for our original models.
By implementing coherent models, the expressiveness of $L_{SAL}$ is enhanced. These models assist in reasoning about the structure of social networks. Some allow us to represent "following relationships", but some logical properties might be lost and may not be characterizable.
Given 20 agents with existing beliefs, we allow them to randomly make cascading announcements 200 times.
When an agent receives a belief that contradicts their current one, they will unfollow the speaker.
Additionally, agents can form following relationships 40 times, with agents in the same echo chamber being 3 times more likely to establish such relationships.