Abstract: The invention concerns a computerized system for simulating real-world evolving aggregates including a memory, for storing data structures, proper, for a given real-world element, with an element-identifier and a series of element-magnitudes corresponding to the respective element-dates. The memory then stores the aggregate data, defined by groups of element-identifiers, each group being associated with a group-date, whereas an aggregate-magnitude can be derived from element-magnitudes corresponding to the group's element-identifiers, at each group-date. The system also includes a simulation generator, arranged to establish a computer model relative to an aggregate to match particular functions to respective leading parameters, selected for the aggregate in question, each particular function resulting from adjustment of the history of the aggregate magnitude with respect to the history of its respective leading parameter, up to a residue, the adjustment being attributed a quality score.

Abstract: A method of simulating a local system which is in interaction with other local systems within a global environment. The method includes generating, at a central location, a collection of global sets of values, each representing a possible future global state of the global environment at a future time, and the collection representing a variety of possible future global states. The method also includes transmitting the collection of global sets of values to the local systems. The local systems receive some of the collection, select a local set of parameters, and perform calculations on that data. The collection of values is used as a predictive simulation of the local system.

Abstract: A method of simulating a local system which is in interaction with other local systems within a global environment. The method includes generating, at a central location, a collection of global sets of values, each representing a possible future global state of the global environment at a future time, and the collection representing a variety of possible future global states. The method also includes transmitting the collection of global sets of values to the local systems. The local systems receive some of the collection, select a local set of parameters, and perform calculations on that data. The collection of values is used as a predictive simulation of the local system.