KuriM2CSetup.md

Kuri Controllers

TODO:

• move all old AI into respective decision scripts
• clean up any action scripts
• do utility AI

File Descriptions

• KuriManager:
  • Decides on which controller to use for actions (i.e., physical vs virtual)
  • Controls Kuri tunable params (curiosity/movement)
  • Controls the tick rate (just calls from update)
  • Keeps track of any Kuri state (e.g., LastActionStartTime)
• HumanStateManager: controls and keeps track of any human related state (e.g., curiosity and movement)
• KuriController: base class for all action APIS
  • KuriPhysicalController: action API for all physical kuri actions
  • KuriVirtualController: action API for all virtual kuri actions
• KuriAI: base class for all decision mappings
  • KuriRuleBasedAI: AI from original study, see first KC paper from ISER for mapping
  • KuriUtilityAI: AI for upcoming in school study

Utility AI

• all values should be normalized 0-1
• variables we care about
  • movement
  • curiosity
  • time since last action
  • rolling time window threshold
• variable lists
  • novelty of each
• action list
  • variable actions
    • virtual ISA
    • hint/scaffold dialogue
    • PPA
    • move
• hardcoded actions
  • give exercise -> when exercise starts
  • congrats dialogue -> when exercise completed

Setup

// scores -> actions
// actions -> scores -> actions
// base scores combined -> composite scores -> actions

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