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McGill University School of Computer Science Ph.D. Student in the Modelling, Simulation and Design Lab MSDL’08 Eugene Syriani.

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Presentation on theme: "McGill University School of Computer Science Ph.D. Student in the Modelling, Simulation and Design Lab MSDL’08 Eugene Syriani."— Presentation transcript:

1 McGill University School of Computer Science Ph.D. Student in the Modelling, Simulation and Design Lab MSDL’08 Eugene Syriani

2 MSDL’08 REFERENCE GraBaTS 2008 Tool contest E. Syriani and H. Vangheluwe: Using MoTif for the AntWorld Simulation Tool Contest DEVS Book (2008) E. Syriani and H. Vangheluwe: DEVS: A Semantic Domain For Programmed Graph Transformation 2

3 MSDL’08 OVERVIEW  Background  In the context  Case Study: The extended AntWorld Simulation  The Modular Timed Graph Transformation language (MoTif)  From DEVS to MoTif  The MoTif solution for the AntWorld case-study  Rules & Control Structure  Real-Time Model Transformation & Deployment  Conclusion and Future Work 3

4 MSDL’08 IN THE CONTEXT Model Transformation  Graph Transformation Controlled Graph Rewriting (rewriting rules) Control Primitives : Sequencing, Branching, Looping, Parallelism, Hierarchy Time is inherent in our transformation models 4

5 MSDL’08 CASE STUDY: ANTWORLD SIMULATION [1] 5 [1] (2008/07/21) EXTENDED

6 MSDL’08 CASE STUDY: ANTWORLD SIMULATION Domain-specific modelling 6

7 MSDL’08 CASE STUDY: ANTWORLD SIMULATION Create grid nodes when ant reaches outmost circle Differentiate between nodes along main axis Ant movement in search mode Ant movement in carry mode Ant creation, once food is brought back to the hill Evaporation of pheromones Simulation Semantics 7

8 MSDL’08 CASE STUDY: ANTWORLD SIMULATION++ At any moment in time, a human steps on the map – Kills all ants on the five nodes – The nodes loose food and pheromones Extended Simulation Semantics 8

9 MSDL’08 FROM DEVS TO MOTIF 9

10 MSDL’08 DEVS The Discrete Event System Specification [2] (DEVS) formalism Highly compositional simulation framework DEVS: – Blocks – Ports – Events Semantics: Parallel composition of blocks/models 10 [2] Zeigler B.P., Multifacetted Modelling and Discrete Event Simulation/ Academic Press, London (1984)

11 MSDL’08 DEVS META-MODEL

12 MSDL’08 MoTiF [2] Blocks – Atomic: encapsulate a graph rewriting rule – Coupled: encapsulate a set of rules (graph grammar) Events – Inport: receive the host graph – Outport(s): send the transformed graph 12 [2] Syriani E. and Vangheluwe H.: Programmed Graph Rewriting with DEVS. AGTIVE 2007, LNCS (2008)

13 MSDL’08 MOTIF META-MODEL

14 MSDL’08 MOTIF AS A DEVS MODEL 14

15 MSDL’08 MOTIF AS A DEVS MODEL 15 At most one rule will execute

16 MSDL’08 MOTIF AS A DEVS MODEL Synchronize parallel threads Success if at least one thread succeeds 16

17 MSDL’08 MOTIF AS A DEVS MODEL 17 The select function: 1.If the Selector is in the imminent list, choose the Selector. 2.Among all the rules that still have a match, choose a corresponding ARule from the imminent list at random, no matter what depth it is at inside this CRule. 3.At this point no rule has any unprocessed match left, then choose any of the ARule in the imminent list. 4.Finally, the imminent list contains either custom atomic blocks or Synchronizers. 5.Proceed with a first-in-first-out selection.

18 MSDL’08 MoTiF MODELLING ENVIRONMENT IN AToM 3 [3] 18 [3] de Lara J., Vangheluwe H., AToM 3 : A tool for multi-formalism and meta-modelling. FASE, LNCS 2306 (2002),

19 MSDL’08 MoTiF EXECUTION COMPILE GENERATE IMPORT SIMULATE Class Grabfood : def match(): … def execute(): … Class Grabfood : def match(): … def execute(): … class Grabfood(ARule): def __init__(self): ARule.__init__(self, name=‘GF') self.state = ARuleState(Grabfood()) def weightFunction(self): return 1.0 class Grabfood(ARule): def __init__(self): ARule.__init__(self, name=‘GF') self.state = ARuleState(Grabfood()) def weightFunction(self): return 1.0 Class Grabfood : def match(): … def execute(): … Class Grabfood : def match(): … def execute(): … class Grabfood: def match(): … def execute(): … class Grabfood: def match(): … def execute(): … 19

20 MSDL’08 MOTIF SOLUTION 20

21 MSDL’08 ANTWORLD RULES 21

22 MSDL’08 SOME ANTWORLD RULES 22 dropFoodcheckAntOnOutCircleconnectNodesInSameCircle goToSameNodeInmoveTowardsHillgrabFood KillOnNodeKillOnNextCircleNodeInWeakenSameNodeOut

23 MSDL’08 MODELLING OF THE TRANSFORMATION: Round CRule 23

24 MSDL’08 MODELLING OF THE TRANSFORMATION: AntMovements CRule 24

25 MSDL’08 MODELLING OF THE TRANSFORMATION: GenerateCircle CRule 25

26 MSDL’08 MODELLING OF THE TRANSFORMATION: EndOfRound CRule 26

27 MSDL’08 MODELLING OF THE TRANSFORMATION: HumanStep CRule 27

28 MSDL’08 MODELLING OF TRANSFORMATION: SYSTEM 28 User – Controller – Autonomous loop Feed-back to User On User interrupt: User Controlled Feed-back to User

29 MSDL’08 SYNTHESIS OF APPLICATION [4] Synthesis of a reactive application Discard the UserBehavior block Runs on a web browser using AJAX and SVG Real-time model transformation (RT-DEVS) 29 [4] E. Syriani and H. Vangheluwe. Programmed Graph Rewriting with Time for Simulation-Based Design. ICMT LNCS, vol.5063, pp (2008)

30 MSDL’08 CONCLUSION Formalised MoTif in terms of DEVS Provided solution to the AntWorld case-study Extended solution with user interrupt Deployment of an application ?Pure parallel execution, possibly distributed ?Re-use and parametrisation of transformation models ?Allowing variable structure 30

31 MSDL’08 31 ?


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