Learn PROLOG with Real Code Examples

Install SWI-Prolog or GNU Prolog

Set environment PATH to Prolog binaries

Optional: install IDEs like Visual Studio Code with Prolog extensions

Verify interpreter with test queries

Configure libraries for AI or constraint programming

Install SWI-Prolog or GNU Prolog

Set environment PATH for interpreter

Optional: configure IDE/editor plugins

Load libraries for AI or constraint logic

Test interpreter with sample queries

Prolog source files (.pl)

Module and library files

Knowledge base datasets

Constraint definitions

Deployment scripts for interpreters

swipl

[file].

consult('file.pl').

?- query(X).

trace.

Supports Unicode and multi-language datasets

Logic statements independent of locale

Libraries for language processing

Used globally in AI research

Text processing adaptable to multiple languages

Cross-platform support (Windows, Linux, macOS)

Open-source interpreters available

Educational and research adoption

Lightweight runtime

Extensive online tutorials and documentation

No GUI by default; outputs via console

Integration possible with web frontends

Visualization via third-party tools

Trace outputs for debugging

Reports generated via queries and formatting

Variables scoped per query

Facts stored in knowledge base

Backtracking automatically explores alternatives

Dynamic predicates can maintain state

Modules encapsulate logic and state

Knowledge stored as facts and rules

Lists for sequence and structured data

Dynamic predicates for runtime data

Constraint variables for specialized logic

Database integration via Prolog libraries