:CLIPS

CLIPS uses forward chaining. Like other expert system languages, CLIPS deals with rules and facts. Various facts can make a rule applicable. An applicable rule is then fired.{{cite journal|last1=Sandeep|first1=K|last2=Rakesh|first2=K|date=2011|title=CLIPS based decision support system for water distribution networks|journal=Drinking Water Engineering and Science|volume=4|issue=1|pages=37–50|doi=10.5194/dwes-4-37-2011|doi-access=free}} Facts and rules are created by first defining them, as shown below:

(deftemplate car_problem

(slot name)

(slot status))

(deffacts trouble_shooting

(car_problem (name ignition_key) (status on))

(car_problem (name engine) (status wont_start))

(car_problem (name headlights) (status work)))

(defrule rule1

(car_problem (name ignition_key) (status on))

(car_problem (name engine) (status wont_start))

=>

(assert (car_problem (name starter) (status faulty))))

Having set this up, the (reset) command causes CLIPS to read the facts and rules. In this case, that would lead to the three "trouble_shooting" facts being asserted. Then the (run) command is used. Given that the two facts listed in rule1 have both been asserted, the conditions for doing its action have been met so the additional fact is asserted as a result of the run.

CLIPS> (reset)

CLIPS> (agenda)

0 rule1: f-1,f-2

For a total of 1 activation.

CLIPS> (facts)

f-0 (initial-fact)

f-1 (car_problem (name ignition_key) (status on))

f-2 (car_problem (name engine) (status wont_start))

f-3 (car_problem (name headlights) (status work))

For a total of 4 facts.

CLIPS> (run)

CLIPS> (facts)

f-0 (initial-fact)

f-1 (car_problem (name ignition_key) (status on))

f-2 (car_problem (name engine) (status wont_start))

f-3 (car_problem (name headlights) (status work))

f-4 (car_problem (name starter) (status faulty))

For a total of 5 facts.

CLIPS>

(assert +)

(Assert (object (name "chair")

(Material wood)

(height 3feet)

(Color brown))

CLIPS(retract

(retract 0)

for a color

In CLIPS, salience allows a user to assign priority (or weight) to a rule.

Descendants of the CLIPS language include Jess (rule-based portion of CLIPS rewritten in Java, it later grew in a different direction),{{cite journal|last1=Goyal|first1=R|last2=Jayasudha|first2=T|last3=Pandey|first3=P|last4=Devi|first4=R. D|last5=Rebecca|first5=A|first6=M. Manju|last6=Sarma|last7=Lakshmi|first7=B|date=2014|title=Knowledge based system for Satellite data product selection|journal=The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences|volume=40|number=8|pages=1233–1236|doi=10.5194/isprsarchives-XL-8-1233-2014|doi-access=free|bibcode=2014ISPAr.XL8.1233G|url=https://www.proquest.com/openview/6e32cf733cd92d98974a96c1d80e3774/1?pq-origsite=gscholar&cbl=2037674}} "Jess was originally inspired by the CLIPS expert system shell, but has grown into a complete, distinct Java-influenced environment of its own." and FuzzyCLIPS (which adds concept of relevancy into the language).

• Constraint Handling Rules
• Drools
• OpenL Tablets

{{Reflist}}

• {{Official website|siliconvalleyone.com/founder/clips}}, downloads, information, news, history
• [https://www.researchgate.net/publication/2706176_CLIPS_expert_system_tool_a_candidate_for_the_Diagnostic_System_engine CLIPS expert system tool: a candidate for the Diagnostic System engine]
• [https://www.codeproject.com/Articles/179375/Man-Marriage-and-Machine-Adventures-in-Artificia CLIPS tutorial on Code Project]
• {{GitHub|doughodson/CLIPSEditor}}, code editor for CLIPS

{{Automated reasoning}}

{{DEFAULTSORT:Clips}}

Category:Expert systems

Category:Public-domain software with source code

Category:Domain-specific programming languages

Category:Knowledge representation languages