Monotonic Learning
If an agent may not learn any knowledge that contradicts what it already knows
then it is said to learn monotonically.
For example, it may not replace a statement with its negation.
Thus, the knowledge base may only grow with new facts in a monotonic fashion.
The advantages of monotonic learning are:
- greatly simplified truth-maintenance
- greater choice in learning strategies
Since learning consists of the addition of new facts to the database,
it may not be appropriate for all environments, although many
simulated environments may be assumed to be
consistent.
In these cases a non-monotonic learning method is
necessary.
Architectures having this agent property include:
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