To　deal　with　the　bionic　self-organization　learning-control　problem,　on　the　basis　of　the　automata　principle　and　the　operant　conditioning　learning　mechanism,　we　make　use　of　the　bionic　self-organization　learning　method　to　build　an　autonomous　operant　conditioning　automaton　(AOCA)　model　including　the　action　set,　the　state　set,　the　condition-action　rule　set,　the　observed　state　transition,　the　operant　conditioning　learning　law　as　well　as　a　recursive　program.　We　also　define　the　operant　entropy　based　on　the　orientation　values　of　states　in　the　AOCA　model,　prove　the　convergence　of　the　AOCA　operant　entropy,　analyze　the　self-organization　characteristics　and　develop　the　recursive　operation　program　for　the　AOCA.　The　AOCA　model　has　been　applied　to　simulate　the　Skinner　animal　experiment,　in　which　the　animal　learns　the　task　in　stages　and　succeeds　in　acquiring　the　skills　eventually.　These　experiment　results　demonstrate　that　the　AOCA　can　realize　the　learning　mechanism　of　operant　conditioning.