Generalization

Generalization is the ability to apply knowledge and information gained in completing some task to other tasks and situations. Humans generalize routinely. For example, knowing that one should always drive on the right on the road is a generalization from one's experience and observation in specific driving situations. However, in the countries of the United Kingdom, driving on the right is not correct. This is an example of over-generalization, which humans also do quite capably. Generalization can result from a number of different learning strategies including:

Explanation-Based Learning
Analogical Learning
Abstraction Learning

The following architectures support the ability to generalize when learning:

Planning and Learning Architecture (Prodigy)
Modular-Integrated Architecture (ICARUS)
Problem Solving Architecture (Soar)
Situated and Planned Action Agent (Teton)
Entropy Reduction Engine (ERE)

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