Strategisina
Strategisina is a theoretical construct used in decision science to describe a class of models that analyze strategic decision-making under uncertainty. The term is used in academic and speculative contexts to denote frameworks that combine dynamic optimization, game theory, and strategic foresight. In this article, strategisina refers to a family of models rather than a single theory, with applications across business, politics, and military planning.
Core concepts include iterative planning, information signaling, commitment, and coalition formation. Agents select sequences of actions,
Methodologically, strategisina encompasses dynamic games, Markov decision processes with strategic components, and agent-based simulations. Analysts use
Applications include corporate strategy, defense planning, and public policy design. In business, it informs scenario planning
Critiques note abstraction and sensitivity to model choices, while computational demands and assumptions about rationality can