Modelling game economy with neo4j Oredev
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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.
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Modelling game economy with neo4j Oredev
- 1. Modelling game economy with Neo4j
- 2. Hi, my name is Yan Cui aka @theburningmonk
- 4. stole from loves loves enemy enemy A Good Man Goes to War appeared in appeared in appeared in appeared in Victory of the Daleks appeared in appeared in companion companion enemy appeared in appeared in
- 5. stole from loves loves enemy enemy A Good Man Goes to War appeared in appeared in appeared in appeared in Victory of the Daleks appeared in appeared in companion companion enemy appeared in appeared in planet prop species species species character character character episode episode
- 6. Leonhard Euler invented Graph Theory in 1736, 275 years before Edgar Codd formulated the relational model
- 7. Seven Bridges of Königsberg Find a walk through the city that would cross each bridge once and only once.
- 8. Seven Bridges of Königsberg Eliminate features to leave just the land masses and the bridges.
- 9. Seven Bridges of Königsberg Land masses became vertices, and bridges became edges.
- 11. location
- 15. 500+ Spots
- 17. Season 1 London
- 18. Season 2 Nan Jing
- 22. 4000 Items
- 23. 800 Recipes
- 25. 1500+ Quests
- 27. 100+ Monsters
- 30. game balancing
- 31. item Pricing
- 32. item Pricing
- 33. item Pricing
- 34. item Pricing
- 35. I’ll just change this one thing…
- 37. manual game balancing is SLOW
- 38. it is REPETITIVE
- 40. there must be a better way...
- 41. Hello, Neo4j The rabbit hole sounds pretty good right about now!
- 42. BIGFOOT catching
- 43. location bait attraction rate catch rate
- 44. as a graph in Neo4j
- 45. Bigfoot Alice Lake exists_in Alluring Goat can_attract Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in
- 46. Bigfoot Alice Lake exists_in Alluring Goat can_attract Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in Strength = 502 Speed = 201 Intelligence = 184 Strength = 420 Speed = 210 Technology = 240
- 47. Bigfoot Alice Lake exists_in Alluring Goat can_attract Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in CatchRate = 0.774
- 48. Bigfoot Alice Lake exists_in Alluring Goat can_attract Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in Buy Price = 20BN Sell Price = 482 Gold Sellable = true …
- 49. Bigfoot Alice Lake exists_in Alluring Goat can_attract Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in DropRate = 0.1
- 50. Bigfoot Alice Lake exists_in Alluring Goat can_attract Bigfoot Toenail Clippings Musket-teer Trap loots can_catch Omar Lake exists_in
- 51. Bigfoot Alice Lake exists_in Alluring Goat can_attract 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 Peryton Fawn Decoy Recipe requires Peryton Fawn Decoy makes
- 52. Bigfoot Alice Lake exists_in Alluring Goat can_attract 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 Peryton Fawn Decoy Recipe requires Peryton Fawn Decoy makes
- 53. Bigfoot Alice Lake exists_in Alluring Goat can_attract 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 Peryton Fawn Decoy Recipe requires Peryton Fawn Decoy makes
- 54. Bigfoot Alice Lake exists_in Alluring Goat can_attract 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 Peryton Fawn Decoy Recipe requires Peryton Fawn Decoy makes
- 59. impact analysis
- 60. What’s the impact of upping the price of “White Bread”?
- 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 Node-[rel]->Node
- 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
- 67. MATCH (wb:BaseItem { Name:"White Bread"}) -[rel:CRAFTS | IS_USED_IN*1..] ->(i:BaseItem) RETURN i, rel, wb
- 68. MATCH (wb:BaseItem { Name:"White Bread"}) -[rel:CRAFTS | IS_USED_IN*1..] ->(i:BaseItem) RETURN i, rel, wb
- 69. MATCH (wb:BaseItem { Name:"White Bread"}) -[rel:CRAFTS | IS_USED_IN*1..] ->(i:BaseItem) RETURN i, rel, wb
- 73. MATCH (wb:BaseItem { Name:"White Bread"}) -[rel:CRAFTS | IS_USED_IN*1..] ->(i:BaseItem) RETURN i, rel, wb
- 79. How scarce is “Durian” compared to “Dragonfruit”?
- 81. MATCH (fruit)<-[:FORAGES]-(tree) -[:EXISTS_IN]->(spot) WHERE fruit.Name=‘Durian’ OR fruit.Name=‘Dragonfruit’ RETURN fruit, tree, spot
- 82. MATCH (fruit)<-[:FORAGES]-(tree) -[:EXISTS_IN]->(spot) WHERE fruit.Name=‘Durian’ OR fruit.Name=‘Dragonfruit’ RETURN fruit, tree, spot Node<-[r1]-Node-[r2]->Node
- 84. MATCH (fruit)<-[:FORAGES]-(tree) -[:EXISTS_IN]->(spot) WHERE fruit.Name=‘Durian’ OR fruit.Name=‘Dragonfruit’ RETURN fruit, tree, spot
- 88. quest lines
- 90. What quests come after “Year of the Horse”?
- 91. MATCH (q1:Quest { Name: “Year of the Horse” }) -[:UNLOCKS] ->(q2:Quest) RETURN q1, q2
- 94. How do you model quest progression?
- 95. 1. Price Items 2. Enrich Model 3. “Price” Quests
- 97. Catch me first. No, catch ME first.
- 99. MATCH (monster1:Monster)-[:LOOTS]->(loot) -[r:IS_USED_IN | CRAFTS*0..]->(bait) -[:CAN_ATTRACT]->(monster2) RETURN monster1, monster2
- 100. MATCH (monster1:Monster)-[:LOOTS]->(loot) -[r:IS_USED_IN | CRAFTS*0..]->(bait) -[:CAN_ATTRACT]->(monster2) RETURN monster1, monster2
- 102. Monster 1Monster 2 Quest 1 Quest 2 Unlocks Unlocks
- 103. Monster 1Monster 2 Quest 1 Quest 2 Unlocks Unlocks Requires Requires
- 104. successful catch = loot + gold
- 105. ∑(Bait Price * Attraction Rate) Input = Output ( ∑(Loot Price * Drop Rate) + Gold ) * Success Rate
- 107. NEW monster = More competitor for bait = Lower attraction rate for all monsters
- 110. version control Game Design data
- 112. GitFlow - branching strategy for Git - used by all our developers
- 113. Publisher - Validate - Localize - Publish
- 114. Publisher Flash iOS Server Neo4j
- 115. test data changes in isolation
- 116. preview changes on live
- 124. graphdatabases.com
- 125. bit.ly/1cmf7h1