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A decision cycle or decision loop [1] is a sequence of steps used by an entity on a repeated basis to reach and implement decisions and to learn from the results. The "decision cycle" phrase has a history of use to broadly categorize various methods of making decisions, going upstream to the need, downstream to the outcomes, and cycling around to connect the outcomes to the needs.
The decision analysis (DA) cycle is the top-level procedure for carrying out a decision analysis. Decision analysis (DA) is the discipline comprising the philosophy, methodology, and professional practice necessary to address important decisions in a formal manner. The traditional decision analysis cycle consists of four phases: basis development
Patterns of Conflict was a presentation by Colonel John Boyd outlining his theories on modern combat and how the key to success was to upset the enemy's "observation-orientation-decision-action time cycle or loop", or OODA loop.
A decision model in decision theory is the starting point for a decision method within a formal system. Decision models contain at least one action axiom . An action is in the form "IF <this> is true, THEN do <that>".
Decision cycle – other models of decision making; Decisional balance sheet – a matrix showing the costs and benefits of different options; Decision-making § GOFER – a model for teaching decision-making to adolescents; Immunity to change – a method of analyzing and overcoming psychological obstacles to goals
The OODA loop (observe, orient, decide, act) is a decision-making model developed by United States Air Force Colonel John Boyd. He applied the concept to the combat operations process, often at the operational level during military campaigns. It is often applied to understand commercial operations and learning processes.
Credit - Photograph by Platon for TIME. P resident-elect Donald Trump, TIME’s 2024 Person of the Year, sat down for a wide-ranging interview at his Mar-a-Lago Club in Palm Beach, Fla., on Nov ...
Adaptive management, also known as adaptive resource management or adaptive environmental assessment and management, is a structured, iterative process of robust decision making in the face of uncertainty, with an aim to reducing uncertainty over time via system monitoring.