Uses of Class
net.sf.tweety.agents.Agent

Packages that use Agent

Package	Description
net.sf.tweety.agents
net.sf.tweety.agents.dialogues
net.sf.tweety.agents.dialogues.lotteries
net.sf.tweety.agents.dialogues.lotteries.sim
net.sf.tweety.agents.dialogues.oppmodels
net.sf.tweety.agents.dialogues.structured
net.sf.tweety.agents.sim
net.sf.tweety.beliefdynamics.mas

Uses of Agent in net.sf.tweety.agents

Classes in net.sf.tweety.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 net.sf.tweety.agents

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

Methods in net.sf.tweety.agents that return Agent

Modifier and Type	Method	Description
Agent	ActionEvent.getAgent()

Methods in net.sf.tweety.agents that return types with arguments of type Agent

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

Methods in net.sf.tweety.agents with parameters of type Agent

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

Constructors in net.sf.tweety.agents with parameters of type Agent

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

Constructor parameters in net.sf.tweety.agents with type arguments of type Agent

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 net.sf.tweety.agents.dialogues

Methods in net.sf.tweety.agents.dialogues with parameters of type Agent

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

Uses of Agent in net.sf.tweety.agents.dialogues.lotteries

Subclasses of Agent in net.sf.tweety.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 net.sf.tweety.agents.dialogues.lotteries.sim

Methods in net.sf.tweety.agents.dialogues.lotteries.sim that return Agent

Modifier and Type	Method	Description
Agent	DirectGameProtocol.getWinner()

Methods in net.sf.tweety.agents.dialogues.lotteries.sim with parameters of type Agent

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

Constructor parameters in net.sf.tweety.agents.dialogues.lotteries.sim with type arguments of type Agent

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

Uses of Agent in net.sf.tweety.agents.dialogues.oppmodels

Subclasses of Agent in net.sf.tweety.agents.dialogues.oppmodels

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

Methods in net.sf.tweety.agents.dialogues.oppmodels that return Agent

Modifier and Type	Method	Description
Agent	GroundedGameProtocol.getWinner()

Methods in net.sf.tweety.agents.dialogues.oppmodels with parameters of type Agent

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

Uses of Agent in net.sf.tweety.agents.dialogues.structured

Subclasses of Agent in net.sf.tweety.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 net.sf.tweety.agents.sim

Classes in net.sf.tweety.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 net.sf.tweety.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 net.sf.tweety.agents.sim with parameters of type Agent

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

Uses of Agent in net.sf.tweety.beliefdynamics.mas

Methods in net.sf.tweety.beliefdynamics.mas that return Agent

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

Methods in net.sf.tweety.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 net.sf.tweety.beliefdynamics.mas with parameters of type Agent

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

Constructor parameters in net.sf.tweety.beliefdynamics.mas with type arguments of type Agent

Constructor	Description
AbstractCredibilityComparer(java.util.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(java.util.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.