Analogical modeling (or AM for short) is an exemplar-based (instance-based) approach to predicting phenomena. It has been used in a wide range of applications including modeling how we use human language. The system works by assigning one or more possible outcomes to a test instance by comparing it to a set of previously supplied, labeled instances. The system uses a unique processing algorithm that does not use rule-based, connectionist, or nearest-neighbor metrics. Instead, its decision procedures and measures directly use analogy to measure the degree of (dis)similarity between items.

This website should help you find out more about the theory and applications of AM, the people doing AM-based research, and how to download and use the program yourself.

• AM bibliography
• AM researchers
• Download the AM program:
  • From the metacpan entry
  • From the current development repository
  • Older version with more detailed instructions
• Download sample AML data sets
• Previous website content (historical relevance only)

Last updated November 2017.