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Rollerslam – Actions and Percepts

Rollerslam – Actions and Percepts. Antonio Jose de Vasconcelos Costa - ajvc Breno Batista Machado - bbm Cleyton Mario de Oliveira Rodrigues - cmor Marcos Aurelio Almeida da Silva - maas Pablo Santana Barbosa - psb Weslei Alvim de Tarso Marinho - watm. Class Diagram - Agents.

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Rollerslam – Actions and Percepts

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  1. Rollerslam – Actions and Percepts Antonio Jose de Vasconcelos Costa - ajvc Breno Batista Machado - bbm Cleyton Mario de Oliveira Rodrigues - cmor Marcos Aurelio Almeida da Silva - maas Pablo Santana Barbosa - psb Weslei Alvim de Tarso Marinho - watm

  2. Class Diagram - Agents <<Agent>> Agent <<GoalAgent>> Player <<AutomataAgent>> Environment <<AutomataAgent>> Referee

  3. <<Interface>> IGetActions + receiveActionRelease (p : Player) + receiveActionCatch (p : Player) + receiveActionThrow (acceleration : Vector, p : Player) + receiveActionTackle (p : Player) + receiveActionHitArm (p : Player) + receiveActionHitLegs (p : Player) + receiveActionDash (acceleration : Vector, p : Player) + receiveActionKick (acceleration : Vector, p : Player) + receiveActionSendMessage (subject : Fact, p : Agent) <<Interface>> IBody +feel(hasball: Boolean, position: Vector, velocity: Vector, acceleration: Vector) <<Interface>> IEyes +see (env : EnvironmentModel) <<Interface>> IEar +recvMessage (subject : Fact) Interfaces

  4. Class Diagram – Agents Effectors <<Effector>> SendPercepts <<Action>> + sendPerceptSee (env : EnvironmentModel) <<Action>> + sendPerceptRecvMessage (subject : Fact) <<Action>> + sendPerceptFeel (hasball: Boolean, position: Vector, velocity: Vector, acceleration: Vector) <<Agent>> Agent <<Effector>> Mouth <<Action>> +sendMessage (subject : Fact) O antitackle será automático, isto é, sempre que um player receber um tackle, o ambiente irá analisar se o tackle será bem sucedido ou não, de acordo com os players. 1 - effector <<Interface>> IArms <<GoalAgent>> Player <<AutomataAgent>> Referee <<AutomataAgent>> Environment 1 1 1 - arm - leg <<Effector>> Legs <<Action>> +dash (acceleration : Vector) <<Action>> +kick (acceleration : Vector) +<<Action>> hit () 1 - mouth 1 - mouth 1 1 <<Effector>> Arms <<Action>> +release () <<Action>> +catch () <<Action>> +throw (acceleration : Vector) <<Action>> +tackle () <<Action>> +hit() <<Interface>> IArms <<Interface>> ILegs

  5. <<Sensor>> GetActions <<Percept>> + receiveActionRelease (p : Player) <<Percept>> + receiveActionCatch (p : Player) <<Percept>> + receiveActionThrow (acceleration : Vector, p : Player) <<Percept>> + receiveActionTackle (p : Player) <<Percept>> + receiveActionHitArm (p : Player) <<Percept>> + receiveActionHitLegs (p : Player) <<Percept>> + receiveActionDash (acceleration : Vector, p : Player) <<Percept>> + receiveActionKick (acceleration : Vector, p : Player) <<Percept>> + receiveActionSendMessage (subject : Fact, p : Agent) <<Sensor>> Body <<Percept>> +feel(hasball: Boolean, position: Vector, velocity: Vector, acceleration: Vector) <<Sensor>> Eyes <<Percept>> +see (env : EnvironmentModel) <<Sensor>> Ear <<Percept>> +recvMessage (subject : Fact) Class Diagram – Agents Sensors <<Interface>> IGetActions <<Agent>> Agent 1 - sensor <<GoalAgent>> Player <<AutomataAgent>> Referee <<AutomataAgent>> Environment 1 1 1 - eyes - eyes - body 1 1 - ear 1 1

  6. <<Sensor>> GetActions <<Percept>> + receiveActionRelease (p : Player) <<Percept>> + receiveActionCatch (p : Player) <<Percept>> + receiveActionThrow (acceleration : Vector, p : Player) <<Percept>> + receiveActionTackle (p : Player) <<Percept>> + receiveActionHitArm (p : Player) <<Percept>> + receiveActionHitLegs (p : Player) <<Percept>> + receiveActionDash (acceleration : Vector, p : Player) <<Percept>> + receiveActionKick (acceleration : Vector, p : Player) <<Percept>> + receiveActionSendMessage (subject : Fact, p : Agent) <<Effector>> Mouth <<Action>> +sendMessage (subject : Fact) Class Diagram – Agent X Environment PGetArmAction PGetLegAction IGetAction IGetAction PGetMouthAction PLegAction PArmAction <<Effector>> Legs <<Action>> +dash (acceleration : Vector) <<Action>> +kick (acceleration : Vector) +<<Action>> hit () IGetAction PMouthAction <<Effector>> Arms <<Action>> +release () <<Action>> +catch () <<Action>> +throw (acceleration : Vector) <<Action>> +tackle () <<Action>> +hit()

  7. <<Effector>> SendPercepts <<Action>> + sendPerceptSee(env : EnvironmentModel) <<Action>> + sendPerceptRecvMessage (subject : Fact) <<Action>> + sendPerceptFeel (hasball: Boolean, position: Vector, velocity: Vector, acceleration: Vector) <<Sensor>> Eyes <<signal>> +see( ):SeePercept <<Sensor>> Ear <<signal>> +recMessage( ): HearPercept <<Sensor>> Body <<signal>> +feel( ): FeelPercept Class Diagram – Environment X Agent PSendBodyPercept PSendEyesPercept ISendPercepts ISendPercepts PSendEarPercept PEyesPercept PBodyPercept ISendPercepts PEarPercept

  8. <<GoalAgent>> Player <<AutomataAgent>> Environment Class Diagram – Environment X Player IEar PErP PSErP <<Sensor>> Ear IEyes <<Sensor>> Eyes <<Effector>> SendPercepts PEsP PSEsP <<Sensor>> Body IBody PBdP PSBdP

  9. <<GoalAgent>> Player <<AutomataAgent>> Environment Class Diagram – Player X Environment IGetActions PArA PGArA <<Effector>> Arms <<Effector>> Mouth IGetActions <<Sensor>> GetActions PMtA PGMtA <<Effector>> Legs IGetActions PLgA PGLgA

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