Modelling game economy with Neo4j
Nov. 4, 2014•0 likes•42,571 views
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In this talk I discussed the various ways in which we utilise Neo4j and data modelling with graphs to helps us model and automate the complex in-game economy in our MMORPG title Here Be Monsters.
Yan CuiFollow
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Modelling game economy with Neo4j
- 1. Modelling game economy ! with Neo4j
- 2. agenda
- 3. Hi, my name is Yan Cui.
- 5. 1MDAILY ILLION USERS ACTIVE
- 6. 250 MILLION DAY REQUEST PER
- 8. location
- 12. 500+ Spots
- 13. location episodic
- 14. London 2012
- 15. Nan Jing 2013
- 16. location episodic multi-player
- 17. herebemonstersgame.com iPad buddies
- 18. location episodic multi-player RPG
- 19. 4000 Items
- 20. 800 Recipes
- 22. 1500+ Quests
- 24. 100+ Monsters
- 27. game balancing
- 28. item Pricing
- 29. item Pricing
- 30. item Pricing
- 31. item Pricing
- 33. manual game balancing is SLOW
- 34. it is REPETITIVE
- 35. ERROR-PRONE! SUBJECTIVE
- 36. there must be a better way...
- 37. Hello, Neo4j The rabbit hole sounds pretty good right about now!
- 38. catching BIGFOOT
- 39. catch rate location bait attraction rate
- 40. as a graph in Neo4j
- 41. Bigfoot Alice Lake exists_in exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake
- 42. Bigfoot Alice Lake exists_in exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake Strength = 502! Speed = 201! Intelligence = 184 Strength = 420! Speed = 210! Technology = 240
- 43. Bigfoot Alice Lake exists_in exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake CatchRate = 0.774
- 44. Bigfoot Buy Price = 20BN! Sell Price = 482 Gold! Sellable Alice = Lake true! … exists_in exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake
- 45. DropRate = 0.1 Bigfoot Alice Lake exists_in exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake
- 46. Bigfoot Alice Lake exists_in exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake
- 47. Bigfoot Alice Lake exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in Yowie Yeti can_catch can_catch Apprentice’s Workshop can_make Goat Honey Yeti Fur requires loots makes Alluring Goat Recipe requires requires Beeswax loots Bee Hive harvests McDonald’s Farm sells loots Goat’s Milk harvests London exists_in requires Peryton Fawn Decoy Recipe Peryton Fawn Decoy makes
- 48. Bigfoot Alice Lake exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in Yowie Yeti can_catch can_catch Apprentice’s Workshop can_make Goat Honey Yeti Fur requires loots makes Alluring Goat Recipe requires requires Beeswax loots Bee Hive harvests McDonald’s Farm sells loots Goat’s Milk harvests London exists_in requires Peryton Fawn Decoy Recipe Peryton Fawn Decoy makes
- 49. Bigfoot Alice Lake exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in Yowie Yeti can_catch can_catch Apprentice’s Workshop can_make Goat Honey Yeti Fur requires loots makes Alluring Goat Recipe requires requires Beeswax loots Bee Hive harvests McDonald’s Farm sells loots Goat’s Milk harvests London exists_in requires Peryton Fawn Decoy Recipe Peryton Fawn Decoy makes
- 50. Bigfoot Alice Lake exists_in can_attract Alluring Goat Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in Yowie Yeti can_catch can_catch Apprentice’s Workshop can_make Goat Honey Yeti Fur requires loots makes Alluring Goat Recipe requires requires Beeswax loots Bee Hive harvests McDonald’s Farm sells loots Goat’s Milk harvests London exists_in requires Peryton Fawn Decoy Recipe Peryton Fawn Decoy makes
- 52. 8000+ Nodes
- 53. 40000+ Edges
- 56. game balancing (revisited)
- 57. impact analysis
- 58. What’s the impact of upping the price of “White Bread”?
- 59. ITEM ITEM CRAFTS RECIPE IS_USED_IN
- 60. MATCH! (wb:BaseItem { Name:"White Bread"})! -[rel:CRAFTS | IS_USED_IN*1..]! ->(i:BaseItem)! RETURN i, rel, wb
- 61. MATCH! (wb:BaseItem { Name:"White Bread"})! -[rel:CRAFTS | IS_USED_IN*1..]! ->(i:BaseItem)! Node-[rel]->Node RETURN i, rel, wb
- 62. MATCH! (wb:BaseItem { Name:"White Bread"})! -[rel:CRAFTS | IS_USED_IN*1..]! ->(i:BaseItem)! RETURN i, rel, wb
- 63. MATCH! (wb:BaseItem { Name:"White Bread"})! -[rel:CRAFTS | IS_USED_IN*1..]! ->(i:BaseItem)! RETURN i, rel, wb
- 64. MATCH! (wb:BaseItem { Name:"White Bread"})! -[rel:CRAFTS | IS_USED_IN*1..]! ->(i:BaseItem)! RETURN i, rel, wb
- 65. MATCH! (wb:BaseItem { Name:"White Bread"})! -[rel:CRAFTS | IS_USED_IN*1..]! ->(i:BaseItem)! RETURN i, rel, wb
- 66. MATCH! (wb:BaseItem { Name:"White Bread"})! -[rel:CRAFTS | IS_USED_IN*1..]! ->(i:BaseItem)! RETURN i, rel, wb
- 68. scarcity analysis
- 69. How scarce is “Durian” compared to “Dragonfruit”?
- 70. FRUIT SPOT EXISTS_IN FORAGES FRUIT TREE
- 71. MATCH! ! (fruit)<-[:FORAGES]-(tree)! -[:EXISTS_IN]->(spot)! WHERE! ! fruit.Name=‘Durian’ OR! fruit.Name=‘Dragonfruit’! RETURN fruit, tree, spot
- 72. MATCH! ! (fruit)<-[:FORAGES]-(tree)! -[:EXISTS_IN]->(spot)! Node<-[WHEREr1]-! ! Node-[r2]->Node fruit.Name=‘Durian’ OR! fruit.Name=‘Dragonfruit’! RETURN fruit, tree, spot
- 73. MATCH! ! (fruit)<-[:FORAGES]-(tree)! -[:EXISTS_IN]->(spot)! WHERE! ! fruit.Name=‘Durian’ OR! fruit.Name=‘Dragonfruit’! RETURN fruit, tree, spot
- 77. quest lines
- 78. ITEM ITEM AWARDS QUEST REQUIRES UNLOCKS
- 79. What quests come after “Year of the Horse”?
- 80. MATCH! (q1:Quest { Name: “Year of the Horse” })! -[:UNLOCKS]! ->(q2:Quest) ! RETURN q1, q2
- 83. How do you model quest progression?
- 84. 2. Enrich Model 1. Price Items 3. “Price” Quests
- 85. monster hierarchy
- 86. Catch me first. No, catch ME first.
- 87. MONSTER ITEM IS_USED_IN LOOTS RECIPE CRAFTS MONSTER ITEM CAN_ATTRACT
- 88. MATCH! (monster1:Monster)-[:LOOTS]->(loot)! -[r:IS_USED_IN | CRAFTS*0..]->(bait)! -[:CAN_ATTRACT]->(monster2)! RETURN monster1, monster2
- 91. Σ(Bait Price * Attraction Rate) Input = Output Σ(Loot Price * Drop Rate) + Gold
- 92. MONSTER ITEM IS_USED_IN LOOTS RECIPE CRAFTS MONSTER ITEM CAN_ATTRACT
- 93. NEW monster ! = More competitor for bait! = Lower attraction rate for all monsters
- 94. getting data into NEO4J
- 96. version control Game Design data
- 97. What changed! When did it change! Why did it change! Who changed it
- 98. allow multi-user editing
- 99. GitFlow! ! - branching strategy for Git! - used by all our developers!
- 100. Publisher - Validate! - Localize! - Publish
- 101. Publisher Flash iOS Server Neo4j
- 102. test data changes in isolation
- 103. preview changes on live
- 104. Localization
- 105. more text than first three Harry Porter books!
- 106. Step 1. ! ingest gettext file
- 107. Step 2. ! intercept string property setters
- 108. Step 3. ! replace string
- 109. Step 4. ! repeat for next language
- 111. intercept string property setters
- 112. intercept string property setters
- 113. replace string
- 114. replace string
- 115. target all DTOs!
- 116. auto-tuning trapping stats
- 117. Monster strength! speed! intelligence Trap strength! speed! technology
- 118. Monster strength! speed! intelligence Trap strength! speed! technology Catch Rate %
- 119. trial-and-error
- 120. error-prone trial-and-error laborious sub-optimal
- 121. genetic algorithms (in F#)
- 130. auto-tuning baits
- 131. auto-tuning baits
- 134. LONDON 2.0 we rewrote the entire season 1 ! quests to make them better.
- 135. TWICE THE FUN
- 136. SEASON 1 SEASON 1! (POST-REWRITE) SEASON 2
- 137. MORE STREAMLINED
- 138. QUALITY > QUANTITY
- 139. TWICE THE AMOUNT SUPPORT TO
- 140. Neo4j to the rescue!
- 141. Thank you!
- 142. theburningmonk.com @theburningmonk github.com/theburningmonk