The model of a DSS/BI system that adapts based on prior decision accuracy can be called ___ AI.

The model of a DSS/BI system that adapts based on prior decision accuracy can be called ___ AI.

• A. Artificial Intelligence (AI)
• B. Machine Learning
• C. Heuristic Analysis
• D. Optimization

Answer: (A)

Adapting a DSS/BI system based on how accurate its past decisions were is a behavior we associate with Artificial Intelligence because it involves learning from experience and adjusting its behavior to improve future outcomes. AI covers systems that can evaluate outcomes, refine their reasoning, and make better recommendations over time, rather than just following a fixed set of rules. While machine learning is a common way to implement such adaptation, it’s a subset of AI—the broader label here is the ability to exhibit intelligent, learning-based behavior in the system. Heuristic analysis relies on fixed rules or educated guesses and doesn’t inherently update itself from past results. Optimization focuses on finding the best solution given constraints, but it doesn’t by itself learn from prior decision outcomes. So the adaptable, experience-driven nature fits best under Artificial Intelligence.

Adapting a DSS/BI system based on how accurate its past decisions were is a behavior we associate with Artificial Intelligence because it involves learning from experience and adjusting its behavior to improve future outcomes. AI covers systems that can evaluate outcomes, refine their reasoning, and make better recommendations over time, rather than just following a fixed set of rules. While machine learning is a common way to implement such adaptation, it’s a subset of AI—the broader label here is the ability to exhibit intelligent, learning-based behavior in the system. Heuristic analysis relies on fixed rules or educated guesses and doesn’t inherently update itself from past results. Optimization focuses on finding the best solution given constraints, but it doesn’t by itself learn from prior decision outcomes. So the adaptable, experience-driven nature fits best under Artificial Intelligence.