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Updated: May 24, 2026
11:54
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
Optimized reduction of uncertainty in bursty human dynamics
Hang-Hyun Jo1, Eunyoung Moon, Kimmo Kaski
1BECS, Aalto University School of Science, P.O. Box 12200, Finland. hang-hyun.jo@aalto.fi
Summary
Optimal waiting times in uncertain situations drive bursty human dynamics. Communication efficiency influences this, while waiting costs may be irrelevant depending on uncertainty levels.
Area of Science:
- Complex Systems
- Human Dynamics
- Agent-Based Modeling
Background:
- Human behavior exhibits inhomogeneous and bursty dynamics.
- The precise role of human factors in these dynamics remains unclear.
Purpose of the Study:
- To investigate the influence of human factors on bursty dynamics.
- To model uncertainty reduction through communication with response delays.
Main Methods:
- Development of an agent-based model.
- Simulation of agents communicating with information providers under uncertainty.
- Analysis of optimal waiting times and their distribution.
Main Results:
- Optimal waiting time selection under uncertainty generates bursty dynamics.
- A heavy-tailed distribution characterizes optimal waiting times.
- Communication efficiency impacts the scaling behavior of waiting time distributions.
Conclusions:
- Agent-based modeling reveals how optimal waiting times create bursty dynamics.
- Communication efficiency is key to understanding the scaling of waiting times.
- Waiting costs' relevance is context-dependent, influenced by uncertainty and efficiency.
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