Uses of Class
org.tweetyproject.agents.Agent

Packages that use Agent

Package	Description
org.tweetyproject.agents
org.tweetyproject.agents.dialogues
org.tweetyproject.agents.dialogues.lotteries
org.tweetyproject.agents.dialogues.lotteries.sim
org.tweetyproject.agents.dialogues.oppmodels
org.tweetyproject.agents.dialogues.structured
org.tweetyproject.agents.sim
org.tweetyproject.beliefdynamics.mas

Uses of Agent in org.tweetyproject.agents

Classes in org.tweetyproject.agents with type parameters of type Agent

Modifier and Type	Class	Description
class	MultiAgentSystem<T extends Agent>	A multi-agent system is a collection of agents with some environment.

Subclasses of Agent in org.tweetyproject.agents

Modifier and Type	Class	Description
class	DummyAgent	A dummy agent is an agent that cannot act.

Methods in org.tweetyproject.agents that return Agent

Modifier and Type	Method	Description
Agent	ActionEvent.getAgent()

Methods in org.tweetyproject.agents that return types with arguments of type Agent

Modifier and Type	Method	Description
MultiAgentSystem<? extends Agent>	ActionEvent.getMultiAgentSystem()

Methods in org.tweetyproject.agents with parameters of type Agent

Modifier and Type	Method	Description
Set<Perceivable>	Environment.getPercepts(Agent agent)	Retrieves the current percepts for the given agent.

Constructors in org.tweetyproject.agents with parameters of type Agent

Modifier	Constructor	Description
	ActionEvent(Agent agent, MultiAgentSystem<? extends Agent> multiAgentSystem, Executable action)	Creates a new ActionEvent.

Constructor parameters in org.tweetyproject.agents with type arguments of type Agent

Modifier	Constructor	Description
	AbstractProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem)	Creates a new protocol for the given multi-agent system.
	ActionEvent(Agent agent, MultiAgentSystem<? extends Agent> multiAgentSystem, Executable action)	Creates a new ActionEvent.
	RigidProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem)	Creates a new rigid protocol for the given multi-agent system.
	RoundRobinProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem)	Creates a new (non-rigid) round robin protocol for the given multi-agent system.
	RoundRobinProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem, boolean isRigid)	Creates a new (non-rigid) round robin protocol for the given multi-agent system.
	SynchronousProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem)	Creates a new (non-rigid) synchronous protocol for the given multi-agent system and unlimited number of steps.
	SynchronousProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem, boolean isRigid)	Creates a new synchronous protocol for the given multi-agent system and unlimited number of steps.
	SynchronousProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem, int numberOfSteps)	Creates a new (non-rigid) synchronous protocol for the given multi-agent system and the given number of steps.
	SynchronousProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem, int numberOfSteps, boolean isRigid)	Creates a new synchronous protocol for the given multi-agent system.

Uses of Agent in org.tweetyproject.agents.dialogues

Methods in org.tweetyproject.agents.dialogues with parameters of type Agent

Modifier and Type	Method	Description
Set<Perceivable>	ArgumentationEnvironment.getPercepts(Agent agent)
Set<Perceivable>	LotteryArgumentationEnvironment.getPercepts(Agent agent)

Uses of Agent in org.tweetyproject.agents.dialogues.lotteries

Subclasses of Agent in org.tweetyproject.agents.dialogues.lotteries

Modifier and Type	Class	Description
class	AbstractLotteryAgent	An agent in a game of argumentation lotteries.
class	DummyLotteryAgent	Audience agents (do nothing) for argumentation games.
class	ProbabilisticLotteryAgent	An agent in a game of argumentation lotteries.
class	RandomLotteryAgent	A baseline agent for argumentation games who always returns some random move.
class	UtilityBasedLotteryAgent

Uses of Agent in org.tweetyproject.agents.dialogues.lotteries.sim

Methods in org.tweetyproject.agents.dialogues.lotteries.sim that return Agent

Modifier and Type	Method	Description
Agent	DirectGameProtocol.getWinner()

Methods in org.tweetyproject.agents.dialogues.lotteries.sim with parameters of type Agent

Modifier and Type	Method	Description
Double	DirectGameProtocol.getUtility(Agent agent)

Constructor parameters in org.tweetyproject.agents.dialogues.lotteries.sim with type arguments of type Agent

Modifier	Constructor	Description
	DirectGameProtocol(MultiAgentSystem<? extends Agent> multiAgentSystem)

Uses of Agent in org.tweetyproject.agents.dialogues.oppmodels

Subclasses of Agent in org.tweetyproject.agents.dialogues.oppmodels

Modifier and Type	Class	Description
class	ArguingAgent	This class represent a general arguing agent with an belief state.

Methods in org.tweetyproject.agents.dialogues.oppmodels that return Agent

Modifier and Type	Method	Description
Agent	GroundedGameProtocol.getWinner()

Methods in org.tweetyproject.agents.dialogues.oppmodels with parameters of type Agent

Modifier and Type	Method	Description
Set<Perceivable>	DeductiveEnvironment.getPercepts(Agent agent)
Double	GroundedGameProtocol.getUtility(Agent agent)

Uses of Agent in org.tweetyproject.agents.dialogues.structured

Subclasses of Agent in org.tweetyproject.agents.dialogues.structured

Modifier and Type	Class	Description
class	CautiousArgumentationAgent	This class models a cautious argumentation agent, i.e.
class	OvercautiousArgumentationAgent	This class models an overcautious argumentation agent, i.e.
class	SasAgent	This class represents an agent in a structured argumentation system.
class	TruthfulArgumentationAgent	This class models a truthful argumentation agent, i.e.

Uses of Agent in org.tweetyproject.agents.sim

Classes in org.tweetyproject.agents.sim with type parameters of type Agent

Modifier and Type	Interface	Description
interface	AgentGenerator<T extends Agent,S extends MultiAgentSystem<T>>	This interface defines an agent template that is used to generate agents following some common characteristics.
class	GameSimulator<S extends AbstractProtocol & GameProtocol,T extends Agent,R extends MultiAgentSystem<T>>	This class implements a game simulator.
interface	MultiAgentSystemGenerator<T extends Agent,S extends MultiAgentSystem<T>>
interface	ProtocolGenerator<T extends Protocol,S extends Agent,R extends MultiAgentSystem<S>>	Generates protocols for simulation.
class	SimulationResult<S extends AbstractProtocol & GameProtocol,T extends Agent,R extends MultiAgentSystem<T>>	Instances of this class summarize information on a performed simulation.

Methods in org.tweetyproject.agents.sim that return Agent

Modifier and Type	Method	Description
Agent	GameProtocol.getWinner()	If the game has a winner, this methods returns it.

Methods in org.tweetyproject.agents.sim with parameters of type Agent

Modifier and Type	Method	Description
Double	GameProtocol.getUtility(Agent agent)	Returns the utility of the given agent for the final situation.

Uses of Agent in org.tweetyproject.beliefdynamics.mas

Methods in org.tweetyproject.beliefdynamics.mas that return Agent

Modifier and Type	Method	Description
Agent	InformationObject.getSource()	Returns the source of this information object.

Methods in org.tweetyproject.beliefdynamics.mas that return types with arguments of type Agent

Modifier and Type	Method	Description
Order<Agent>	CrMasBeliefSet.getCredibilityOrder()	Returns the credibility order of this belief set.

Constructors in org.tweetyproject.beliefdynamics.mas with parameters of type Agent

Modifier	Constructor	Description
	InformationObject(T formula, Agent source)	Creates a new information object for the given formula and the given source.

Constructor parameters in org.tweetyproject.beliefdynamics.mas with type arguments of type Agent

Modifier	Constructor	Description
	AbstractCredibilityComparer(Collection<InformationObject<PlFormula>> formulas, Order<Agent> credOrder)	Creates a new credibility comparer that is guided by the giving information which agents uttered the formulas and the credibility order.
	CredibilityCategorizer(Collection<InformationObject<PlFormula>> formulas, Order<Agent> credOrder)	Creates a new credibility categorizer that is guided by the giving information which agents uttered the formulas and the credibility order.
	CrMasBeliefSet(Order<Agent> credibilityOrder, S sig)	Creates a new belief set with the given credibility order.