Temporal Reasoning in AI

Temporal reasoning in AI is the ability of a system to understand, interpret, and make decisions based on information about time and the order of events. It enables AI to track when things happen, relate events to each other chronologically, and predict future occurrences. This is essential for tasks like scheduling, planning, and understanding sequences in complex environments, such as recognizing that one event must occur before another or estimating the duration between events. In essence, temporal reasoning helps AI comprehend the temporal flow of information, making its actions more context-aware and logically consistent over time.