A Fuzzy Associative Memory (FAM for short) is a Fuzzy Logic tool for decision making. Fuzzy logic FAMs have a wide range of practical applications: Control systems, such as governing a fan to keep a room at the "just right" temperature; Game AI, such as imbuing bots with human-like decision-making behavior; Prediction systems, linking causes with effects. A FAM uses Fuzzy Sets to establish a set of rules that are linguistic in nature. The linguistic rules, and the fuzzy sets they contain, are defined by a human "expert" (presumably, you). The rules therefore codify intelligence and map this knowledge from the human domain to the digital.

Required Ruby Version

None

Authors

Chris Powell

Versions

  1. 1.3.2 September 12, 2013 (60 KB)
  2. 1.3.1 September 03, 2013 (58 KB)
  3. 1.3.0 September 03, 2013 (58 KB)
  4. 1.2.0 August 23, 2013 (58 KB)
  5. 1.1.1 July 26, 2013 (57.5 KB)
Show all versions (8 total)

SHA 256 checksum