Ruby Kaigi 2015: Prepare yourself against Zombie epidemic

The news is everywhere: some weird disease makes the dead walking. We do not know yet if it is highly contagious. What should we do? What we do everyday: writing code.

This couldn't be a better moment to use an agent based model — a technique that simulates interactions between agents in a environment to understand their effects as a whole. For such, we'll visit its minimal Ruby implementation, address some common design, simulate the Zombie epidemic, visualize it, and test different survival strategies to hopefully find the best one.

We can code, we'll be prepared ... or not.

The code: https://github.com/toch/zombie_epidemic

Transcript

1. Benjamin Lehman, ©2011
2. Benjamin Lehman, ©2011 Prepare yourself against Zombie ゾンビ epidemic
3. Agent Based Model
9. Agent Based Model
10. Map National Geographics, ©2011
11. map = Map.new(4, 4)
12. point = Point.new point_north = Point.new point.neighborhood[:north] = point_north point_north.neighborhood[:south] = point # ...
13. John DellAngelo, ©2013 Agent
14. agent = Agent.new(age, start_point, stm)
15. agent.perceive # => {}
16. agent.act # => :walk agent.walk(:east)
18. agent.age # => 1
19. agent.age agent.commit # => #<ZombieEpidemic::State:... # @name=:susceptible, ...
20. State
21. state = State.new(:susceptible) state.define_possible_actions( ->(agent) { [:walk, :stay, :fight].sample } )
22. state.decide_action_for(agent) # => :walk
23. infected = State.new(:susceptible) state.add_transition( infected, ->(state, agent) { true } )
24. state.trigger_transition(agent) # => #<ZombieEpidemic::State:... # @name=:infected, ...
26. State Transition Machine
27. stm = StateTransitionMachine.new # create states: # - susceptible # - infected # - zombie # - dead # create transitions # set default initial state
28. Simulation Loop
29. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
30. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
31. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
32. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
33. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
34. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
35. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
36. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
37. steps = 100 agents = create_the_agents steps.times do agents.each do |agent| agent.act; agent.age end agents.each { |agent| agent.commit } remove_the_deads(agents) end
40. Validation & Calibration
41. # validation # == # functional test
44. # Calibration # f(x, y, z, ?) = a
45. Simulate & Prepare yourself
46. Live Demo
48. Outro
49. ? toch _toch toch/zombie_epidemic