Expert Systems are AI systems designed to emulate the decision-making ability of a human expert in a specific domain.
The Knowledge Base is a fundamental component of expert systems that stores relevant information, facts, and rules about a particular domain.
Inference Engines are components of expert systems responsible for drawing conclusions and making decisions based on the rules and information stored in the knowledge base.
Multi-Agent Systems involve multiple independent entities, or agents, that interact to achieve common goals.
Entity Alignment is the task of matching entities from different datasets that refer to the same real-world objects.
Data Integration involves combining data from different sources to provide a unified view.
Causal Discovery involves identifying causal relationships between variables in a system.