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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 <<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>> + receiveActionSay (subject : Fact, p : Agent) Interfaces

  4. Class Diagram – Agents Effectors <<Effector>> SendPercepts <<Action>> + sendPerceptSee(env : EnvironmentModel) <<Action>> + sendPerceptHear (subject : Fact) <<Action>> + sendPerceptFeel (hasball: Boolean, position: Vector, velocity: Vector, acceleration: Vector) <<Agent>> Agent <<Effector>> Mouth <<Action>> +say (subject : Fact) 1 - effector <<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() O antitackle será automático, quando um player receber o tackle.

  5. <<Sensor>> Eyes <<signal>> +see( ):SeePercept <<Sensor>> Ear <<signal>> +hear( ): HearPercept <<Sensor>> Body <<signal>> +feel( ): FeelPercept Class Diagram – Agents Sensors <<Interface>> IGetActions <<Agent>> Agent <<Sensor>> GetActions 1 - sensor <<GoalAgent>> Player <<AutomataAgent>> Referee <<AutomataAgent>> Environment 1 1 1 1 - body - ear 1 - eyes 1 - eyes 1

  6. <<Effector>> Mouth <<Action>> +say (subject : Fact) Class Diagram – Agent X Environment <<Sensor>> GetActions 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()

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