  We examine the interplay of motility and information exchange in a model of
run-and-tumble active particles where the particle's motility is encoded as a
bit of information that can be exchanged upon contact according to the rules of
AND and OR logic gates in a circuit. Motile AND particles become non-motile
upon contact with a non-motile particle. Conversely, motile OR particles remain
motile upon collision with their non-motile counterparts. AND particles that
have become non-motile additionally "reawaken", i.e., recover their motility,
at a fixed rate $\mu$, as in the SIS (Susceptible, Infected, Susceptible) model
of epidemic spreading, where an infected agent can become healthy again, but
keeps no memory of the recent infection, hence it is susceptible to a renewed
infection. For $\mu=0$, both AND and OR particles relax irreversibly to
absorbing states of all non-motile or all motile particles, respectively. The
relaxation kinetics is, however, faster for OR particles that remain active
throughout the process. At finite $\mu$, the AND dynamics is controlled by the
interplay between reawakening and collision rates. The system evolves to a
state of all motile particles (an absorbing state in the language of absorbing
phase transitions) for $\mu>\mu_c$ and to a mixed state with coexisting motile
and non-motile particles (an active state in the language of absorbing phase
transitions) for $\mu<\mu_c$. The final state exhibits a rich structure
controlled by motility-induced aggregation. Our work can be relevant to
biochemical signaling in motile bacteria, the spreading of epidemics and of
social consensus, as well as light-controlled organization of active colloids.
