Package org.tweetyproject.agents.dialogues.lotteries

Class UtilityBasedLotteryAgent

java.lang.Object

org.tweetyproject.agents.Agent

org.tweetyproject.agents.dialogues.lotteries.AbstractLotteryAgent

org.tweetyproject.agents.dialogues.lotteries.UtilityBasedLotteryAgent

public class UtilityBasedLotteryAgent
extends AbstractLotteryAgent

A lottery agent that selects actions based on a utility function. The agent chooses the action that maximizes its utility according to the given semantics.

Constructor Summary

Constructors

Constructor	Description
UtilityBasedLotteryAgent(String name, DungTheory theory, UtilityFunction util, Semantics semantics)	Constructs a new UtilityBasedLotteryAgent with the given name, Dung theory, utility function, and semantics.

Method Summary

Modifier and Type	Method	Description
double	getUtility(DungTheory theory, Semantics semantics)	Returns the utility of a given Dung theory based on the agent's utility function and the specified semantics.
ExecutableDungTheory	next(Collection<? extends Perceivable> percepts)	Chooses the next action based on the utility of subgraphs in the agent's current theory.

Methods inherited from class org.tweetyproject.agents.dialogues.lotteries.AbstractLotteryAgent

getSemantics, getTheory

Methods inherited from class org.tweetyproject.agents.Agent

getName, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Details

UtilityBasedLotteryAgent

public UtilityBasedLotteryAgent(String name,
 DungTheory theory,
 UtilityFunction util,
 Semantics semantics)

Constructs a new UtilityBasedLotteryAgent with the given name, Dung theory, utility function, and semantics.

Parameters:

name - the name of the agent

theory - the initial Dung theory of the agent

util - the utility function used by the agent to evaluate actions

semantics - the argumentation semantics used by the agent

Method Details

next

public ExecutableDungTheory next(Collection<? extends Perceivable> percepts)

Chooses the next action based on the utility of subgraphs in the agent's current theory. The agent selects the subgraph that maximizes the utility according to its utility function.

Specified by:

next in class AbstractLotteryAgent

Parameters:

percepts - the percepts received by the agent

Returns:

the ExecutableDungTheory representing the action with the highest utility

getUtility

public double getUtility(DungTheory theory,
 Semantics semantics)

Returns the utility of a given Dung theory based on the agent's utility function and the specified semantics.

Specified by:

getUtility in class AbstractLotteryAgent

Parameters:

theory - the Dung theory whose utility is to be evaluated

semantics - the argumentation semantics used for evaluation

Returns:

the utility value of the theory according to the utility function