Rule system analysis
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The use of centralized business rule systems is commonplace in
financial services and health care. It's a strategy that
must integrate IT and CAS
Centralization of business rules in a
repository ensures business process flows can apply an agent like
use of sensors to leverage the 'executable' derivative of the plan
to select how to proceed. The use of audit, monitoring,
lifecycles and business editing capabilities allows the PDCA is the Plan Do Check Act (PDCA) cycle developed at Bell Labs by Walter Shewhart. Each activity that an organization identifies it will 'do' is formally described in a 'plan' including a model of the expected outcomes of the act if it successfully achieves its goals. If a subsequent 'check' of the results of the action relative to the predicted model is unsatisfactory the initial plan is modified to correct for identified problems and the cycle is re-executed. The cycle allows learning to become represented in the improved plan. Following the process institutionalizes the learning.
interactively improve the schematic plan.
The application of a genetic algorithm
to improve the viability of the rule set is offset by the
centralized ability to alter key aspects of the rules. Given
the need to specialize the rules by facility, business relationship
and environment which would seem to benefit from a GA and
the goal of central control and architectural understanding which
would seem to be undermined by a GA the real implementations are not
The products like FICO's
that implement these complex rule sets are like computer programs
written in primitive languages like BASIC without type checking,
scope control, or memory management support. Therefore they
become brittle and difficult to manage.