Temporal Intelligence Decay in Digital Decision Systems

Here's something weird I noticed - almost all these studies treat group decisions as static snapshots, but in reality, decisions have lifespans. Drawing on Ozdemir et al.'s (2023) finding that decision-making roles didn't change over 2 years in heart failure patients, this research asks: what if that stability is actually a problem? We'd investigate how the relevance and accuracy of group decisions decay over time in rapidly changing environments, and how digital communication systems might accelerate this decay through information cascades and echo chambers. Unlike Burton et al.'s (2024) rewiring algorithms that optimize for immediate accuracy, we'd develop systems that optimize for decision longevity - perhaps by intentionally introducing temporal diversity (bringing in people with different time horizons) or creating "memory refresh" mechanisms that periodically revisit foundational assumptions. This challenges the implicit assumption in current MAGDM approaches (like those by Wu 2025 or Qi 2021) that once a good decision is reached, the work is done. The innovation is treating time as an active variable in collective intelligence rather than just a backdrop, which could revolutionize how we approach long-term planning and policy decisions.

References:

1. Modal multi-attribute group decision making with unknown weights and new scores under interval-valued q-rung orthopair fuzzy sets and its applications. Zhuocheng Wu (2025). International Journal of Intelligent Decision Technologies.
2. A Prospective Cohort Study of Medical Decision-Making Roles and Their Associations with Patient Characteristics and Patient-Reported Outcomes among Patients with Heart Failure. Semra Ozdemir, J. Lee, K. Yeo, K. L. Sim, E. Finkelstein, Chetna Malhotra (2023). Medical decision making.
3. GRA and CRITIC Method for Intuitionistic Fuzzy Multiattribute Group Decision Making and Application to Development Potentiality Evaluation of Cultural and Creative Garden. Quan Qi (2021). Mathematical Problems in Engineering.
4. Algorithmically mediating communication to enhance collective decision-making in online social networks. Jason W. Burton, Abdullah Almaatouq, M. Rahimian, Ulrike Hahn (2024). Collective Intelligence.