Which Artificial intelligence technique enables the computers to understand…

Answer: Pattern Matching.

Why this is correct: Pattern matching finds recurring structures or feature combinations in data and compares new inputs to those stored patterns. By identifying similarities and co-occurrences, it reveals associations and relationships between objects and events.

• Feature extraction: represent objects or events as patterns (e.g., feature vectors or symbolic templates).

• Pattern comparison: match incoming data against known patterns using similarity measures or rules.

• Association inference: repeated co-occurrence or matching across contexts lets the system infer relationships (for example, that two events often happen together).

• Applications: object recognition, event correlation, anomaly detection, and recommendation systems all rely on pattern-matching principles to discover associations.

Why the other choices are not correct:

• Heuristic Processing: useful for quick decision-making but not specifically for identifying associations between objects/events.

• Cognitive Science: a broad academic field studying cognition rather than a concrete AI technique for detecting associations.

• Relative symbolism: not a standard AI technique name; likely a confusion with symbolic or relational methods, but pattern matching is the clearer answer for discovering associations.