These agents can mutually recognize each other's activities and can take appropriate actions according to the underlying security policies. Such an agent can learn and adapt to its environment dynamically and can detect both known and unknown intrusions. A classifier system is a machine-learning system.
Any classifier system has a set of condition-action rules called classifiers.
The classifier systems learn rules, which guide the system's performance in monitored environment. A classifier system starts with some initial rules that can be given as input and learns new rules. A classifier system takes input from the environment classifies it according to its classifiers and suggests some action, which effects the environment. The environment provides a feedback using which the system learns.