Real-Time Decentralized Information Processing as a Model of Organizations with Boundedly Rational Agents
研究实时分散信息处理作为组织中人类信息处理的一个模型，考虑了计算时间成本和延迟对信息使用的影响，发现分散化并不必然减少延迟。
This paper studies the properties of real-time decentralized information processing as a model of human information processing in organizations. Real-time decentralized processing—which models the computation of decision rules in a temporal decision problem by members of an organization—captures both the cost of computation in terms of the members' time and the constraints imposed by computational delay on the use of recent information. Unlike a batch processing model, it has no single measure of delay because decisions are computed from data of heterogeneous lags. Furthermore, decentralization does not unambiguously reduce delay, because processing a message precludes processing current data.