The success of Watson on Jeopardy exemplifies a tradition of what kind of AI?

• A. Game-playing AIs
• B. Rule-based expert systems
• C. Vision-based AI
• D. Robotic locomotion

Answer: (A)

Watson’s Jeopardy success embodies game-playing AI—systems designed to compete with humans in structured, competitive tasks. Jeopardy demands understanding natural language clues, quickly identifying potential answers, and choosing the most probable response under uncertainty, all while managing strategic wagering. Watson tackles this by combining natural language processing, large-scale information retrieval, and probabilistic reasoning to generate and rank candidate answers and make informed bets. This reflects a long-running AI tradition that treats games as proving grounds for advanced reasoning, language understanding, and decision-making, rather than relying on hand-crafted rules or sensory/physical capabilities. It isn’t primarily about visual perception or physical movement, so vision-based AI or robotic locomotion aren’t the core fit for this scenario, and it isn’t limited to a rule-based expert-system approach.