Taken　complex　adaptive　system　(CAS)　theory　into　cluster　innovation　research,　this　investigation　focuses　on　the　agents　of　industrial　cluster　innovation　network　(ICIN).　And　it　uses　network　structure　variables　and　agents＇　behavior　to　study　the　relationship　between　ICIN　and　its　innovation　capacity　based　on　CAS＇s　echo　model　and　the　reverse　simulation　method.　After　summarized　the　CAS　simulation　research＇s　framework　and　process,　this　investigation　builds　the　structure　of　ICIN　influencing　innovation　capacity　simulation　model　by　analyzing　the　interaction　between　environment,　agents,　resource　and　knowledge.　Through　CAS　multi-agent　simulation　method　combining　with　the　case　of　Zhongguancun　cluster　innovation　network,　the　results　show　that　innovation　agents　in　order　to　adapt　to　the　environment　to　adjust　their　behavior　constantly,　generate　interaction,　and　change　the　innovation　mechanisms,　that　influence　the　innovation　capacity.　Moreover,　under　some　structural　qualification,　innovative　capacity　could　be　enhanced　with　the　ICIN　structure＇s　variables　of　mean　minimal　path　length　decreasing,　aggregation　coefficient　increasing　and　degree　distribution　increasing.