LACL, bâtiment P2-RdC, salle des thèses: comment y aller
Abstract:  
		 In this paper, we
		investigate the rational synthesis problem for
		concurrent game structure for a variety of objectives
		ranging from reachability to Muller condition. We
		propose a new algorithm that establishes the
		decidability of the non cooperative rational synthesis
		problem that relies solely on game theoretic technique
		as opposed to previous approaches that are logic
		based. Given an instance of the rational synthesis
		problem, we construct a zero-sum turn-based game that
		can be adapted to each one of the afore mentioned
		objectives thus obtain new complexity results. In
		particular, we show that reachability, safety, Büchi,
		and co-Büchi conditions are PSpace-complete, Parity,
		Muller, Street, and Rabin are PSpace-hard and in
		ExpTime.
		In this paper, we
		investigate the rational synthesis problem for
		concurrent game structure for a variety of objectives
		ranging from reachability to Muller condition. We
		propose a new algorithm that establishes the
		decidability of the non cooperative rational synthesis
		problem that relies solely on game theoretic technique
		as opposed to previous approaches that are logic
		based. Given an instance of the rational synthesis
		problem, we construct a zero-sum turn-based game that
		can be adapted to each one of the afore mentioned
		objectives thus obtain new complexity results. In
		particular, we show that reachability, safety, Büchi,
		and co-Büchi conditions are PSpace-complete, Parity,
		Muller, Street, and Rabin are PSpace-hard and in
		ExpTime.
Abstract:
		   Parametric timed
		  automata are a powerful formalism to reason about,
		  model and verify real-time systems in which some
		  constraints are unknown, or subject to
		  uncertainty. Parameter synthesis using parametric
		  timed automata is very sensitive to the state space
		  explosion problem. To mitigate this problem, we
		  propose two new exploration orders, i. e., the
		  "ranking strategy" and the "priority based
		  strategy", and compare them with existing
		  strategies. We consider both complete parameter
		  synthesis, and counterexample synthesis where the
		  analysis stops as soon as some parameter valuations
		  are found. Experimental results using IMITATOR show
		  that our new strategies significantly outperform
		  existing approaches, especially in the
		  counterexample synthesis.
		   Parametric timed
		  automata are a powerful formalism to reason about,
		  model and verify real-time systems in which some
		  constraints are unknown, or subject to
		  uncertainty. Parameter synthesis using parametric
		  timed automata is very sensitive to the state space
		  explosion problem. To mitigate this problem, we
		  propose two new exploration orders, i. e., the
		  "ranking strategy" and the "priority based
		  strategy", and compare them with existing
		  strategies. We consider both complete parameter
		  synthesis, and counterexample synthesis where the
		  analysis stops as soon as some parameter valuations
		  are found. Experimental results using IMITATOR show
		  that our new strategies significantly outperform
		  existing approaches, especially in the
		  counterexample synthesis.