README
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aiutility
Very basic implementation of an utility based AI
The components of the AI are:
- Reasoner
- Action
- Consideration
The reasoner is the main component that decides what to do. It has a list of actions that it can choose from. Each action has a list of considerations that it uses to decide if it should perform that action. Each consideration generates an appraisal (in form of a score) that is used to calculate the utility of the action. The action with the highest utility is then chosen.
Great explanation of utility based AI: https://www.gdcvault.com/play/1012410/Improving-AI-Decision-Modeling-Through
Documentation
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Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type Action ¶
type Action struct {
Name string // The name of the action.
Utility func(*Reasoner) float64 // The utility of the action.
Execute func() // The function that executes the action.
}
Action represents an action that can be performed by an agent.
type Consideration ¶
Consideration represents a consideration that can be used to calculate the utility of an action. TODO: Introduce parameters for considerations. - This could be entity a and b for calculating the distance between two entities, etc.
type Reasoner ¶
type Reasoner struct {
Actions []*Action // The actions that can be performed by the agent.
Considerations map[string]Consideration // The considerations that can be used to calculate the utility of an action.
}
Reasoner represents the root of the AI system. It contains all the actions and considerations.
func (*Reasoner) BestAction ¶
BestAction returns the action with the highest utility.
Source Files
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