more generally, there seems to be a societal parallel; the rise of atomization has harmed our interpersonal communication, lowering social synchronization rates and driving individualistic modes of being

could improving communication skills, similarly, reverse this trend?

gap junctions are comparable to interpersonal relationships; both are communication channels between agents, and as such can be quantified in terms of bandwidth, with the two terminals of the spectrum being atomization and unification

how much bandwidth is needed to collaborate?

too little, and the agents cannot adequately synchronize on goals, and hence, align

too much and the agents cease to be distinct entities, which is likely suboptimal, as it lowers redundancy and parallelism

presumably related to the complexity of the relevant domain

the larger & more complex an agent is presumably the more bandwidth it requires to adequately align w/ another

I'd imagine this is proportional to the surface area of the agents informational boundary, as internal complexity increases w/ information flux

what's the growth rate?

seems like synchronization is necessary to share internal state, intermediate results, threat intel, etc. this is a distributed computation problem; cells are not partition tolerant!

I wonder if there has been work done to model cell network info flow as distributed systems 🤔

not really going anywhere in particular w/ this line of thought, but I do think it's worth pointing out how easily the computational frame lends itself to application in the biological domain

information dynamics rule everything around me & cs/info theory are the study thereof