The phenomenon where knowledge relied upon by agents gradually becomes mismatched with the real world. Usually not sudden failure, but slow accuracy decline. Trigger conditions include policy changes, API modifications, and business rule adjustments. Requires establishing 'knowledge validity period' mechanisms.