Forward chaining (or forward reasoning) is one of the two main methods of reasoning when using an inference engine and can be described logically as repeated...

– the other is forward chaining. Backward chaining systems usually employ a depth-first search strategy, e.g. Prolog. Backward chaining starts with a list...

three different types of chaining that can be used and they are forward chaining, backward chaining, and total task chaining (not to be confused with...

rule or facts: forward chaining and backward chaining. Forward chaining starts with the known facts and asserts new facts. Backward chaining starts with...

assertion. There are mainly two modes for an inference engine: forward chaining and backward chaining. The different approaches are dictated by whether the inference...

logic to perform reasoning; inference commonly proceeds by forward chaining and backward chaining. There are also examples of probabilistic reasoners, including...

deterministic engine. These rules engines may forgo both forward chaining and backward chaining, and instead utilize domain-specific language approaches...

larger problems involving hundreds or thousands of rules. OPS5 uses a forward chaining inference engine; programs execute by scanning "working memory elements"...

curriculum. Chaining is the process of teaching the steps of a task analysis. The two methods of chaining, forward chaining and backward chaining, differ...

problems in the problem domain. Most commonly, it employs forward chaining or backward chaining. Other approaches include the use of automated theorem proving...

logic programming (automated theorem proving) languages. CLIPS uses forward chaining. Like other expert system languages, CLIPS deals with rules and facts...

of type Q. In artificial intelligence, modus ponens is often called forward chaining. The modus ponens rule may be written in sequent notation as P → Q...

data), and the inclusion of a backward chaining algorithm tailored to run on top of the Rete network. Backward chaining alone can account for the most extreme...

Pay it forward is an expression for describing the beneficiary of a good deed repaying the kindness to others rather than paying it back to the original...

Chaining is a teaching procedure. It may also refer to: Chaining (vector processing) Method chaining Forward chaining Backward chaining Back-chaining...

theorem prover; translate OWL-DL into rules and give the rules to a forward chaining engine (Bossam) (this approach cannot cover the full expressivity of...

Kolmogorov forward equation for continuous processes, now understood to be identical to the Fokker–Planck equation, the Kolmogorov forward equation for...

triggered.[citation needed] Rule interpreters generally execute a forward chaining algorithm for selecting productions to execute to meet current goals...

pattern-directed invocation: Forward chaining (antecedently): If assert P, assert Q If assert not Q, assert not P Backward chaining (consequently) If goal Q...

and default rules. A deductive engine called a classifier utilizes forward chaining, semantic unification, and object-oriented truth maintenance technologies...

Web, similar to sed or awk for text files or XSLT for XML. It is a forward chaining semantic reasoner that can be used for querying, checking, transforming...

recursive reasoning methods they employ are termed 'forward chaining' and 'backward chaining', respectively. Although reasoning systems widely support deductive...

base, e.g. forward chaining versus backward chaining. However, in opportunistic reasoning, pieces of knowledge may be applied either forward or backward...

Pay It Forward is a novel by Catherine Ryan Hyde, released in 1999 which was adapted into the motion picture Pay It Forward which released theatrically...

Expert systems can operate in either a forward chaining – from evidence to conclusions – or backward chaining – from goals to needed data and prerequisites...

(KEE) from Intellicorp. KEE had a complete rule engine with forward and backward chaining. It also had a complete frame-based knowledge base with triggers...

product, Nexpert, was a C-based, goal-oriented backward chaining and data-driven forward chaining expert system shell for the Macintosh in 1985. The product...

system. In the KEE knowledge base, rules are frames. Both forward chaining and backward chaining inference are available. KEE supports non-monotonic reasoning...

are many ways to teach chaining, such as forward chaining (starting from the first behavior in the chain), backwards chaining (starting from the last...

The PRD specification defines one such resolution strategy based on forward chaining reasoning. RIF-PRD has an operational semantics, whereas the condition...