Examples of aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram

aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram

Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.12, page 51.

 function MODEL-BASED-REFLEX-AGENT(percept) returns an action persistent: state, the agent's current conception of the world state model, a description of how the next state depends on current state and action rules, a set of condition-action rules action, the most recent action, initially none state  <- UPDATE-STATE(state, action, percept, model) rule   <- RULE-MATCH(state, rules) action <- rule.ACTION return action

Figure 2.12 A model-based reflex agent. It keeps track of the current state of the world using an internal model. It then chooses an action in the same way as the reflex agent. @author Ciaran O'Reilly @author Mike Stampone

  private static final String ATTRIBUTE_CURRENT_STATE = "currentState";
  private static final String ATTRIBUTE_STATE_LOCATION_A = "stateLocationA";
  private static final String ATTRIBUTE_STATE_LOCATION_B = "stateLocationB";


  public ModelBasedReflexVacuumAgent() {
    super(new ModelBasedReflexAgentProgram() {
      @Override
      protected void init() {
        setState(new DynamicState());
        setRules(getRuleSet());
      }

  private static final String ATTRIBUTE_CURRENT_STATE = "currentState";
  private static final String ATTRIBUTE_STATE_LOCATION_A = "stateLocationA";
  private static final String ATTRIBUTE_STATE_LOCATION_B = "stateLocationB";


  public ModelBasedReflexVacuumAgent() {
    super(new ModelBasedReflexAgentProgram() {
      @Override
      protected void init() {
        setState(new DynamicState());
        setRules(getRuleSet());
      }

Related Classes of aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram

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