The study of methods for transforming data and information products from disparate sources across time into a representation facilitating decision-making processes.
The ability to understand, or make sense of, events and relationships between events, in a time-space region of interest.
The determination of appropriate resources and possible placement to perform desired functions, according to one or multiple goals and subject to certain constraints.
The process by which multiple entities work together to accomplish one or multiple (possibly competing) goals.
System that is able to respond (within a bounded domain) to events or situations to which the system was not pre-programmed to respond. There are generally intelligence-based technologies built into the autonomous system which perform situation assessment and decision-making.
Representation of real-world problems as optimization models and the development of solution strategies for these models.
Using rigorous operations research techniques to prove optimality or near-optimality, i.e., quantifying the solution quality.
The creation of algorithms that speed up the process of finding satisficing solutions to a problem, at the potential sacrifice of guaranteed optimality.
The development, representation, and testing of a design or technique, without being physically built, in order to make better decisions.
A computational tool that supports human decision-making.
The analysis of data to find meaningful patterns and a measure of understanding.