Defining Functions in Jess

4.1. Deffunctions

You can define your own functions in the Jess rule language using the deffunction construct. A deffunction construct looks like this:

(deffunction <function-name> [<doc-comment>] (<parameter>*)
   <expr>* [<return-specifier>])

The <function-name> must be a symbol. Each <parameter> must be a variable name. The optional <doc-comment> is a double-quoted string that can describe the purpose of the function. There may be an arbitrary number of <expr> expressions. The optional <return-specifier> gives the return value of the function. It can either be an explicit use of the return function or it can be any value or expression. Control flow in deffunctions is achieved via control-flow functions like foreachif, and while. The following is a deffunction that returns the larger of its two numeric arguments:

Jess> (deffunction max (?a ?b)
  (if (> ?a ?b) then
      (return ?a)
  else
      (return ?b)))
TRUE

Note that this could have also been written as:

Jess> (deffunction max (?a ?b)
  (if (> ?a ?b) then
      ?a
   else
      ?b))
TRUE

This function can now be called anywhere a Jess function call can be used. For example

Jess> (printout t "The greater of 3 and 5 is " (max 3 5) "." crlf)
The greater of 3 and 5 is 5.

Normally a deffunction takes a specific number of arguments. To write a deffunction that takes an arbitrary number of arguments, make the last formal parameter be a multifield -- a variable prefixed with a '$' character. When the deffunction is called, the multifield variable will contain all the remaining arguments passed to the function, as a list. A deffunction can accept no more than one such wildcard argument, and it must be the last argument to the function.

You can also customize the Jess language with functions written in Java. These are indistinguishable from built-in functions, and in fact, you write them using the same interface used to define built-in functions. See here for details.

4.2. Defadvice

Sometimes a Jess function won't behave exactly as you'd like. The defadvice construct lets you write some Jess code which will be executed before or after each time a given Jess function is called. defadvice lets you easily "wrap" extra code around any Jess function, such that it executes before (and thus can alter the argument list seen by the real function, or short-circuit it completely by returning a value of its own) or after the real function (and thus can see the return value of the real function and possibly alter it. ) defadvice provides a great way for Jess add-on authors to extend Jess without needing to change any internal code.

 

경축! 아무것도 안하여 에스천사게임즈가 새로운 모습으로 재오픈 하였습니다.
어린이용이며, 설치가 필요없는 브라우저 게임입니다.
https://s1004games.com

Here are some examples of what defadvice looks like.

 

This intercepts calls to 'plus' (+) and adds the extra argument '1', such that (+ 2 2) becomes (+ 2 2 1) -> 5. The variable '$?argv' is special. It always refers to the list of arguments the real Jess function will receive when it is called.

Jess> (defadvice before + (bind $?argv (create$ $?argv 1)))
TRUE
Jess> (+ 2 2)
5

This makes all additions equal to 1. By returning, the defadvice keeps the real function from ever being called.

Jess> (defadvice before + (return 1))
TRUE
Jess> (+ 2 2)
1

This subtracts one from the return value of the + function. ?retval is another magic variable - it's the value the real function returned. When we're done, we remove the advice with undefadvice.

Jess> (defadvice after + (return (- ?retval 1)))
TRUE
Jess> (+ 2 2)
3
Jess> (undefadvice +)
Jess> (+ 2 2)
4

 

[출처] https://jessrules.com/jess/docs/71/deffunctions.html

 

 

본 웹사이트는 광고를 포함하고 있습니다.
광고 클릭에서 발생하는 수익금은 모두 웹사이트 서버의 유지 및 관리, 그리고 기술 콘텐츠 향상을 위해 쓰여집니다.
번호 제목 글쓴이 날짜 조회 수
17 [java 인공지능] 오라클, 자바 머신러닝 라이브러리 ‘트리뷰오’ 오픈소스로 공개 졸리운_곰 2023.08.27 27
16 [java 인공지능] 자바를 위한 머신 러닝 라이브러리 졸리운_곰 2023.08.27 21
15 [Java 인공지능] 오라클, 자바 머신러닝 라이브러리 ‘트리뷰오’ 오픈소스로 공개 file 졸리운_곰 2023.08.13 24
14 [java 인공지능] [java] 라이프 게임 (life game) file 졸리운_곰 2021.10.19 91
13 How to use Weka in your Java code 졸리운_곰 2020.02.01 138
12 weka and java eclipse example : A Simple Machine Learning Example in Java file 졸리운_곰 2020.01.31 69
11 머신러닝? weka file 졸리운_곰 2020.01.31 127
10 [Weka] Weka를 이용한 Iris 데이터 머신러닝 file 졸리운_곰 2020.01.30 123
9 [강좌] WEKA 사용법 (간단한 분류, 의사결정트리 분석 설명) file 졸리운_곰 2020.01.30 118
8 [JESS] Jess , 이클립스 연동 file 졸리운_곰 2019.12.22 50
7 Jess 간단한 문법 요약 졸리운_곰 2019.12.22 71
6 Jess 6.1 다운로드 friedman-hill_src_1_jess_se file 졸리운_곰 2019.12.22 16
5 java artificial intelligence Rule Engine Jess Working Memory 졸리운_곰 2019.12.22 104
» Defining Functions in Jess 졸리운_곰 2019.12.22 121
3 Jess Language Basics 졸리운_곰 2019.12.22 52
2 Embedding Jess in a Java Application 졸리운_곰 2019.12.22 33
1 다섯개의 탑 자바로 머신러닝 라이브러리 Top 5 machine learning libraries for Java file 졸리운_곰 2017.08.22 161
대표 김성준 주소 : 경기 용인 분당수지 U타워 등록번호 : 142-07-27414
통신판매업 신고 : 제2012-용인수지-0185호 출판업 신고 : 수지구청 제 123호 개인정보보호최고책임자 : 김성준 sjkim70@stechstar.com
대표전화 : 010-4589-2193 [fax] 02-6280-1294 COPYRIGHT(C) stechstar.com ALL RIGHTS RESERVED