backward chaining

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  • A common approach is to implement production systems to support forward or backward chaining.
  • In backward chaining the system looks at possible conclusions and works backward to see if they might be true.
  • This approach is often easier to implement and maintain, and provides performance advantages over forward or backward chaining systems.
  • The backward chaining approach is often employed by expert systems.
  • In order to teach a task utilizing a backward chaining procedure, begin by breaking down the entire task into individual steps.
  • In backward chaining the engine looks for antecedents that can satisfy one of the current goals.
  • Backward chaining is a bit less straight forward.
  • In addition, some rules engines support backward chaining.
  • Backward chaining systems usually employ a depth-first search strategy, e.g. Prolog.
  • KEE had a complete rule engine with forward and backward chaining.
  • Backward chaining starts with goals, and works backward to determine what facts must be asserted so that the goals can be achieved.
  • Let us illustrate backward chaining by following the pattern of a computer as it evaluates the rules.
  • Because the data determines which rules are selected and used, this method is called data-driven, in contrast to goal-driven backward chaining inference.
  • This could be especially powerful with backward chaining.
  • The most common forms of chaining are backward chaining, forward chaining, and total task presentation.
  • Inference engines work primarily in one of two modes: forward chaining and backward chaining.
  • These rules engines may forgo both forward chaining and backward chaining, and instead utilize domain-specific language approaches to better describe policy.
  • In the derivation, the rules are used in the reverse order as compared to backward chaining.
  • In Backward Chaining the system would be given a goal, e.g. answer the question is Socrates Mortal?
  • Prolog focused primarily on backward chaining and also featured various commercial versions and optimizations for efficiency and robustness.
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