Among　HIV,　immune　cell　and　drug,　exhibit　interactions　that　are　usually　not　well　understood　and　as　a　result,　cannot　be　accurately　modeled.　In　this　paper,　Modeling　by　AOC　is　to　understand　the　dynamics　of　HIV　infection　and　treatment.　The　use　of　AOC-by-self-discovery　modeling　was　investigated.　AOC-by-self-discovery　methods　try　to　adjust　the　system　parameters　automatically.　To　demonstrate　the　effects　of　therapies,　we　design　and　implement　a　HIV　Computational　Lab　prototype.　HIV　Computational　Lab　is　an　AOC-based　simulation　of　HIV　immune　dynamics　that　is　currently　being　developed　in　NetLogo.　It　allows　researches　to　investigate　dependencies　various　immune　responses　to　HIV.　The　HIV　Computational　Lab　provides　a　good　tool　to　characterize　the　process　of　HIV　infection　and　study　HIV　drug　treatment.