Timing decisions as the next frontier for collective intelligence
The past decade has witnessed a dramatically growing interest in collective intelligence - the phenomenon of groups having an ability to make more accurate decisions than isolated individuals. However, the vast majority of studies to date have focused, either explicitly or implicitly, on spatial decisions (e.g., potential nest sites, food patches, or migration directions). We highlight the equally important, but severely understudied, realm of temporal collective decision-making, i.e., decisions about when to perform an action. We argue that temporal collective decision making is likely to differ from spatial decision making in several crucial ways and probably involves different mechanisms, model predictions, and experimental outcomes. We anticipate that research focused on temporal decisions should lead to a radically expanded understanding of the adaptiveness and constraints of living in groups.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Agentic AI and the next intelligence explosion
The "AI singularity" is often miscast as a monolithic, godlike mind. Evolution suggests a different path: intelligence is fundamentally plural, social, and relational. Recent advances in agentic AI reveal that frontier r…
Frontiers in Collective Intelligence: A Workshop Report
In August of 2021, the Santa Fe Institute hosted a workshop on collective intelligence as part of its Foundations of Intelligence project. This project seeks to advance the field of artificial intelligence by promoting i…
Sakana Fugu Technical Report
The capabilities of frontier Large Language Models (LLMs) continue to advance, with different providers increasingly specializing in distinct domains. This raises a natural next objective: how to combine the individual s…
Reinforcement LearningSpeed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence
This paper presents an empirical investigation of the relation between decision speed and decision quality for a real-world setting of cognitively-demanding decisions in which the timing of decisions is endogenous: profe…
Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents
Collective intelligence refers to the ability of a group to achieve outcomes beyond what any individual member can accomplish alone. As large language model agents scale to populations of millions, a key question arises:…