Part VIII Formation Without Foreknowledge: Human Development Under Unknown Futures

The preceding parts of this research program examined the problem of preparing a human system for demands whose future domain cannot be reliably specified in advance. Part I introduced the Unknown Demand Problem. Part II distinguished domain-specific development from functional cooperation. Part III examined the possibility of cross-domain developmental transfer. Part IV considered internal negotiation within a selectively developed human system. Parts V and VI extended the structural problem to organizations and larger systems, examining how accumulated investment and capability can influence subsequent adaptive capacity. Part VII then addressed a different but related problem: the conceptual distinction between revealing a future state and participating in the formation of a future state. Part VIII asks what follows when these observations are taken together. If the future cannot be known in advance, if the state eventually encountered may be partly constituted through continuing interaction, and if the consequences of action cannot be guaranteed by the actor, then human preparation cannot be adequately understood as preparation for a known future outcome. The problem becomes one of formation without foreknowledge. This paper develops a distinction between outcome-oriented preparation and formation-oriented preparation. Outcome-oriented preparation organizes development around anticipated states, tasks, environments, or results. Formation-oriented preparation instead develops capacities that remain useful across changing and partially unknowable conditions. The distinction does not imply that forecasting, planning, simulation, or goal specification are useless. Rather, it establishes a boundary: these instruments can inform action without providing ownership of the future state toward which action is directed. The paper compares this proposal with research on decision making under deep uncertainty, robust decision making, dynamic adaptive policy pathways, psychological flexibility, and adaptive capacity, and illustrates the argument with two documented cases: the collapse of sensemaking among smokejumpers at the 1949 Mann Gulch fire, and the subsequent formation-oriented redesign of crew training in commercial aviation through Crew Resource Management. The central proposition is that when future demand is unknown and outcomes are not fully controllable, the objective of development should not be to produce confidence in a predicted future, but to produce a system capable of perception, judgment, regulation, learning, reorientation, and action without requiring prior possession of the future it will encounter.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-17
DOI
https://doi.org/10.5281/zenodo.21976800
Primary Topic
Human-Automation Interaction and Safety
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Part VIII Formation Without Foreknowledge: Human Development Under Unknown Futures

Samir Baladi
Zenodo (CERN European Organization for Nuclear Research)
Human-Automation Interaction and Safety
preprint

Part VIII Formation Without Foreknowledge: Human Development Under Unknown Futures

Samir Baladi
preprint en

Abstract

The preceding parts of this research program examined the problem of preparing a human system for demands whose future domain cannot be reliably specified in advance. Part I introduced the Unknown Demand Problem. Part II distinguished domain-specific development from functional cooperation. Part III examined the possibility of cross-domain developmental transfer. Part IV considered internal negotiation within a selectively developed human system. Parts V and VI extended the structural problem to organizations and larger systems, examining how accumulated investment and capability can influence subsequent adaptive capacity. Part VII then addressed a different but related problem: the conceptual distinction between revealing a future state and participating in the formation of a future state. Part VIII asks what follows when these observations are taken together. If the future cannot be known in advance, if the state eventually encountered may be partly constituted through continuing interaction, and if the consequences of action cannot be guaranteed by the actor, then human preparation cannot be adequately understood as preparation for a known future outcome. The problem becomes one of formation without foreknowledge. This paper develops a distinction between outcome-oriented preparation and formation-oriented preparation. Outcome-oriented preparation organizes development around anticipated states, tasks, environments, or results. Formation-oriented preparation instead develops capacities that remain useful across changing and partially unknowable conditions. The distinction does not imply that forecasting, planning, simulation, or goal specification are useless. Rather, it establishes a boundary: these instruments can inform action without providing ownership of the future state toward which action is directed. The paper compares this proposal with research on decision making under deep uncertainty, robust decision making, dynamic adaptive policy pathways, psychological flexibility, and adaptive capacity, and illustrates the argument with two documented cases: the collapse of sensemaking among smokejumpers at the 1949 Mann Gulch fire, and the subsequent formation-oriented redesign of crew training in commercial aviation through Crew Resource Management. The central proposition is that when future demand is unknown and outcomes are not fully controllable, the objective of development should not be to produce confidence in a predicted future, but to produce a system capable of perception, judgment, regulation, learning, reorientation, and action without requiring prior possession of the future it will encounter.

Zenodo (CERN European Organization for Nuclear Research)
Renaissance University (NG), Renaissance Sciences Corporation (United States) (US), Ronin Institute (US), Renaissance Services (United States) (US), Ronin Institute for Independent Scholarship 2.0 (US)
Partnerships for the goals
Human-Automation Interaction and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.