Expert Systems

Backward chaining is a reasoning method in AI that starts with the goal and works backward to find supporting evidence.

Forward chaining is a data-driven inference method used in AI to deduce conclusions from given facts and rules.

An inference engine is a core component of AI systems that applies logical rules to a knowledge base to derive conclusions.

A rule-based system uses predefined rules to make decisions or solve problems in AI applications.

Symbolic AI is a branch of artificial intelligence focused on using symbols and rules for reasoning and problem-solving.