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Nitin Kumar Yadav RMIT University, Melbourne nitin.yadav@student.rmit.edu.au Minor thesis for semester 2, 2009, under the supervision of Dr. Sebastian Sardina, RMIT university Implementation and analysis of simulation based techniques for behavior composition

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Behavior Composition Simulation Techniques Implementation Analysis Contents

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Behavior Composition 3 What is a behavior ? Behavior – Logic of a machine – Web service – Stand alone component Abstracted as finite transition systems Available behaviors can be non-deterministic B1B2

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Behavior Composition 4 Combining available behaviors to realize a target behavior Available behaviors Target behavior (virtual) T1 Can we realize T1 by composing B1 and B2 ? B1B2

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Behavior Composition 5 Combined finite transition system of available behaviors ‘composed’ transition system of available behaviors B1 B2 Asynchronous product of B1 and B2

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Behavior Composition 6 Combined finite transition system of available behaviors B1 B2 Asynchronous product of B1 and B2 ‘composed’ transition system of available behaviors

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Behavior Composition 7 Combined finite transition system of available behaviors B1 B2 Asynchronous product of B1 and B2 Can this behave like the target system ?

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Simulation 8 A transition system T1 simulates another transition system T2 iff T1 can ‘mimic’ all the states of T2 A state in the available system mimics another state in the target system if: – It can do all the actions that the target state can do – The successor state in the available system as a result of such an action simulates the resulting state in the target system Simulation is a relation of states of the composed system and the states of the target behavior which can be ‘mimicked’.

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t Simulation 9 Example Available behaviors Target System {, } … Simulation Relation simulation relation is a solution to the behavior Composition problem ! How to calculate it ?

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Techniques 10 Two approaches for behavior composition Regression based approach [Sardina,Patrizi & De Giacomo, KR 2008] Progression based approach [Stroeder & Pagnucco, 2009, IJCAI 2009] Proceedings of Principles of Knowledge Representation and Reasoning (KR), pages 640-650, Sydney, Australia, September 2008. AAAI Press. Accepted for the IJCAI 2009

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Techniques 11 Regression based approach [Sardina, Patrizi, De Giacomo] Assume each state in the available system simulates each state in the target system Iteratively remove non-conformant links which don’t’ follow the simulation definition i.e., – Can not perform the actions which can be requested in the matching target state – The successor state of the action does not follow the above rule Stop when no more links can be removed

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t Regression based approach 12 Example Available behaviors Target System {, } Assume each state from available behaviors simulates each state In the target system

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t Regression based approach 13 Example Available behaviors Target System {, } Each Cycle : step 1 – remove the States which can not perform the Actions of the linked target state

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t Regression based approach 14 Example Available behaviors Target System {, } Each Cycle : step 2 – remove the States whose successor states are not in the simulation relation X Continue till no more links can be removed

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Techniques 15 Progression based approach [Stroder & Pagnucco] Start from the initial state Iteratively add conformant links between the states of the composed system and the target system Stop when no more links can be added

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t Progression based approach 16 Example Available behaviors Target System {, } Start from states those ‘can Mimic the initial state

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t Progression based approach 17 Example Available behaviors Target System {, } Iteratively add links

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t Progression based approach 18 Example Available behaviors Target System {, } Iteratively add links X

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Implementation 19 Implementation of both the techniques on a common platform Implement both approaches on a common platform – Java Prototype implementation available. 1.TLV implementation for deterministic available behaviors is available, but not for non-deterministic behaviors. Symfony is another system, but Lacks some of the components.

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Analysis 20 Comparing the speed of the techniques Measure the speed of both the algorithms for the problems Design benchmark problems – Hand crafted Problems for which a known solution exists Problems for which a solution does not exist – Randomly generated problems – Variation in size and number of available behaviors If time left in minor thesis – Study algorithm’s behavior with respect to Varying degrees of non determinism in available behaviors

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Questions ? Comparing the speed of the techniques

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