This review summarizes the structure of the generalization literature and its implicit embryonic technology, categorizing studies designed to assess or program generalization according to nine general headings: Train and Hope; Sequential Modification; Introduce to Natural Maintaining Contingencies; Train Sufficient Exemplars; Train Loosely; Use Indiscriminable Contingencies; Program Common Stimuli; Mediate Generalization; and Train "To Generalize". Traditionally, generalization has been considered a passive phenomenon, but it is equally deserving of an active conceptualization and technology. The review discusses the importance of generalization in applied behavior analysis and the need for active programming rather than passive expectation. It highlights various techniques for promoting generalization, including training sufficient exemplars, using indiscriminable contingencies, and introducing common stimuli. The review also emphasizes the need for systematic research and analysis to better understand and program generalization effectively.This review summarizes the structure of the generalization literature and its implicit embryonic technology, categorizing studies designed to assess or program generalization according to nine general headings: Train and Hope; Sequential Modification; Introduce to Natural Maintaining Contingencies; Train Sufficient Exemplars; Train Loosely; Use Indiscriminable Contingencies; Program Common Stimuli; Mediate Generalization; and Train "To Generalize". Traditionally, generalization has been considered a passive phenomenon, but it is equally deserving of an active conceptualization and technology. The review discusses the importance of generalization in applied behavior analysis and the need for active programming rather than passive expectation. It highlights various techniques for promoting generalization, including training sufficient exemplars, using indiscriminable contingencies, and introducing common stimuli. The review also emphasizes the need for systematic research and analysis to better understand and program generalization effectively.