  We study the critical behavior of a noisy kinetic opinion model subject to
resilience to change depending on aging, defined as the time spent on the
current opinion state. In this model, the opinion of each agent can take the
three discrete values, the extreme ones $\pm 1$, and also the intermediate
value 0, and it can evolve through kinetic exchange when interacting with
another agent, or independently, by stochastic choice (noise). The probability
of change by pairwise interactions depends on the age that the agent has
remained in the same state, according to a given kernel. We particularly
develop the cases where the probability decays either algebraically or
exponentially with the age, and we also consider the anti-aging scenario where
the probability increases with the age, meaning that it is more likely to
change mind the longer the persistence in the current state. For the opinion
dynamics in a complete graph, we obtain analytical predictions for the critical
curves of the order parameters, in perfect agreement with agent-based
simulations. We observe that sufficiently weak aging (slow change of the kernel
with the age) favors partial consensus with respect to the aging-insensitive
scenario, while for sufficiently strong aging, as well as for anti-aging, the
opposite trend is observed.
