In Prolog, one generally does not assign values to variables at all. Prolog searches its facts and attempts to determine if there is value for the variable which In a manner closely analogous to what logicians call "unification". Prolog variables are similar to variables in high-school algebra, and operate Work in a way quite different from what you are used to in your favorite procedural programming Uppercase letters and lowercase letters are used for fixed values and Prolog terms.
VISUAL PROLOG VS PROLOG CODE
In contrast, if one were developing an expert system for, say, systems diagnostics, then it might be more valuable to compile the Prolog code into C# and embed the resultingĪ few Prolog basics are necessary to understand this example. The interpreter is also ideal for the learner simple Prolog rules can be developed and explored in an easy comfortable environment. He or she could write the Prolog code, run it in the interpreter, and have their answer. The interpreter would be ideal if one only wanted a solution to the Missionaries and Cannibals problem. P# can be used in two different ways: as a Prolog interpreter or as a Prolog-to-C# compiler. Terrific tool for developers wishing to embed rule-driven Prolog code in a C# program. P#, on the other hand, isĪn Open Source Prolog implementation created specifically for the CLR by Jon Cook. NET developer using XSB as aĬomponent would have to be very comfortable invoking API-level procedures. Its compiled code runs in an unmanaged environment, however.
VISUAL PROLOG VS PROLOG WINDOWS
XSB is open source and isĪvailable for many platforms, including Windows and Linux. Runs Prolog code, it supports many powerful features and extensions not stricly part of the Prolog language. In fact it is not really fair to call it Prolog at all XSB is a superset of Prolog. XSB is a top-notch artificial intelligence There are many good Prolog implementations out there, including several excellent Open Source packages. NET or Mono developer who wishes to explore Prolog.
Before discussing the core problem itself, let's examine some of the options available to the. Such problems are often far simpler to express in Prolog than in a conventional procedural language such as Java or C#. The same underlying problem structure appears in many more sophisticated problems, including symbolic reasoning, natural language processing, and cognitive modeling. Both problems illustrate a general class of problems, in which we must find a path to a particular Rather than re-hash the cannibals and missionaries problem, we will use a similar problem, the farmer-cabbage-goats-wolf This divisionĬan also improve a program's maintainability, since the core problem code can be separated not onlyįrom the user interface, but also from any platform-specific considerations. While describing the cannibals and missionary problem in a language well suited to such searches. This means that we can build a user interface in a language ideal for that purpose, perhaps C#, Even more importantly, the CLS allows for easy mixed-language programming. Some mathematical problems might be better expressed in APL, or perhaps SML, while some logic That there is no single language which is ideal for all problems. One of the most interesting features of the Common Language Specification (CLS) is the tacit recognition This simple problem providesĪn ideal introduction to an alternative programming language, the artificial intelligence language Prolog. Missionaries and cannibals problem to illustrate an AI search technique in C#.
In November 2006, Sacha Barber posted an interesting article on Code Project which used the classic
VISUAL PROLOG VS PROLOG DOWNLOAD
0 kommentar(er)
