Learn PROLOG with Real Code Examples

Declarative logic statements define knowledge base

Inference engine evaluates queries using facts and rules

Backtracking explores multiple solutions automatically

Recursion enables hierarchical and complex reasoning

Modules/packages organize large codebases

Knowledge base parsed by Prolog interpreter

Queries evaluated using inference engine

Backtracking searches for solutions

Rules applied recursively

Results returned to user or application

Knowledge base (facts and rules)

Inference engine evaluates queries

Constraint logic programming for specialized tasks

Recursive predicate resolution

Modules for organizing large rule sets

Expert systems for medical diagnosis

NLP parsers and chatbots

Logic-based game engines

Constraint solvers for scheduling

Knowledge representation for AI research

Declarative specification of knowledge

Logical inference over procedural instructions

Recursion and pattern matching

Backtracking to explore alternative solutions

Modular code using predicates and modules

Use indexing for large knowledge bases

Minimize unnecessary backtracking

Modularize large rule sets

Use constraint logic programming for complex tasks

Parallelize queries if interpreter supports it

Port facts and rules from legacy Prolog files

Refactor procedural predicates into modular rules

Update for modern interpreter syntax

Integrate constraint logic libraries

Test queries for correctness