Global Information Lookup Global Information

Backward chaining information


Backward chaining (or backward reasoning) is an inference method described colloquially as working backward from the goal. It is used in automated theorem provers, inference engines, proof assistants, and other artificial intelligence applications.[1]

In game theory, researchers apply it to (simpler) subgames to find a solution to the game, in a process called backward induction. In chess, it is called retrograde analysis, and it is used to generate table bases for chess endgames for computer chess.

Backward chaining is implemented in logic programming by SLD resolution. Both rules are based on the modus ponens inference rule. It is one of the two most commonly used methods of reasoning with inference rules and logical implications – the other is forward chaining. Backward chaining systems usually employ a depth-first search strategy, e.g. Prolog.[2]

  1. ^ Feigenbaum, Edward (1988). The Rise of the Expert Company. Times Books. p. 317. ISBN 0-8129-1731-6.
  2. ^ Michel Chein; Marie-Laure Mugnier (2009). Graph-based knowledge representation: computational foundations of conceptual graphs. Springer. p. 297. ISBN 978-1-84800-285-2.

and 24 Related for: Backward chaining information

Request time (Page generated in 1.2289 seconds.)

Backward chaining

Last Update:

Backward chaining (or backward reasoning) is an inference method described colloquially as working backward from the goal. It is used in automated theorem...

Word Count : 806

Forward chaining

Last Update:

chaining is a popular implementation strategy for expert systems, business and production rule systems. The opposite of forward chaining is backward chaining...

Word Count : 703

Inference engine

Last Update:

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

Word Count : 1461

Chaining

Last Update:

of the behavior chain) until they are prompted through the remaining steps. Backward chaining is the same process as forward chaining but starts with...

Word Count : 759

Semantic reasoner

Last Update:

a forward-chaining inference-based rules engine which uses an enhanced implementation of the Rete algorithm. Evrete, a forward-chaining Java rule engine...

Word Count : 581

Expert system

Last Update:

knowledge base. Backward chaining is a bit less straight forward. In backward chaining the system looks at possible conclusions and works backward to see if...

Word Count : 6348

Backward induction

Last Update:

method is called backward search or backward chaining. In chess, it is called retrograde analysis. In game theory, a variant of backward induction is a...

Word Count : 3486

Business rules engine

Last Update:

emphasize reaction rules. In addition, some rules engines support backward chaining. In this case a rules engine seeks to resolve the facts to fit a particular...

Word Count : 1515

Reasoning system

Last Update:

or backward reasoning to infer conclusions via modus ponens. The recursive reasoning methods they employ are termed 'forward chaining' and 'backward chaining'...

Word Count : 1945

Drools

Last Update:

Drools is a business rule management system (BRMS) with a forward and backward chaining inference-based rules engine, more correctly known as a production...

Word Count : 642

Mycin

Last Update:

MYCIN was an early backward chaining expert system that used artificial intelligence to identify bacteria causing severe infections, such as bacteremia...

Word Count : 1106

Rete algorithm

Last Update:

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...

Word Count : 5150

Knowledge Engineering Environment

Last Update:

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

Word Count : 356

Opportunistic reasoning

Last Update:

forward chaining versus backward chaining. However, in opportunistic reasoning, pieces of knowledge may be applied either forward or backward, at the...

Word Count : 203

Kolmogorov equations

Last Update:

Kolmogorov equations, including Kolmogorov forward equations and Kolmogorov backward equations, characterize continuous-time Markov processes. In particular...

Word Count : 1396

List of Java frameworks

Last Update:

Drools Business rule management system (BRMS) with a forward and backward chaining inference based rules engine, using an enhanced implementation of...

Word Count : 12

Applied behavior analysis

Last Update:

so that those parts can be taught through the use of chaining: forward chaining, backward chaining and total task presentation. Task analysis has been...

Word Count : 12019

How to Solve It

Last Update:

for a pattern Draw a picture Solve a simpler problem Use a model Work backward Use a formula Be creative Applying these rules to devise a plan takes your...

Word Count : 1026

State space planning

Last Update:

corresponds to the current path in the search space. Forward Search and Backward Search are two of main samples of state space planning. Forward search...

Word Count : 393

Knowledge engineering

Last Update:

Knowledge representation and reasoning Backward chaining Case-based reasoning Commonsense reasoning Forward chaining Model-based reasoning Inference engines...

Word Count : 576

CLIPS

Last Update:

object oriented and logical (theorem proving) languages. CLIPS uses forward chaining. Like other expert system languages, CLIPS deals with rules and facts....

Word Count : 682

Backtracking

Last Update:

Backjumping – In backtracking algorithms, technique that reduces search space Backward chaining – Method of forming inferences Enumeration algorithm – an algorithm...

Word Count : 1986

Inference

Last Update:

be inferred from a KB (knowledge base) using an algorithm called backward chaining. Let us return to our Socrates syllogism. We enter into our Knowledge...

Word Count : 2629

CycL

Last Update:

Knowledge representation and reasoning Backward chaining Case-based reasoning Commonsense reasoning Forward chaining Model-based reasoning Inference engines...

Word Count : 732

PDF Search Engine © AllGlobal.net