Agents
A Field Guide to Decision Making
arXiv:2604.20669v1 Announce Type: cross Abstract: High-consequence decision making demands peak performance from individuals in positions of responsibility. Such executive authority bears the obligati
arXiv:2604.20669v1 Announce Type: cross Abstract: High-consequence decision making demands peak performance from individuals in positions of responsibility. Such executive authority bears the obligation to act despite uncertainty, limited resources, time constraints, and accountability risks. Tools and strategies to motivate confidence and foster risk tolerance must confront informational noise and can provide qualified accountability. Machine intelligence augments human cognition and perception to improve situational awareness, decision framing, flexibility, and coherence through agentic stewardship of contextual metadata. We examine systemic and behavioral factors crucial to address in scenarios encumbered by complexity, uncertainty, and urgency.
Related
- Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
- AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting
- AI-Induced Human Responsibility (AIHR) in AI-Human teams
- LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Source: arXiv cs.AI | 2026-04-23