Automatizability and Simple Stochastic Games

The complexity of simple stochastic games (SSGs) has been open since they were defined by Condon in 1992. Despite intensive effort, the complexity of this problem is still unresolved. In this paper, building on the results of [4], we establish a connection between the complexity of SSGs and the complexity of an important problem in proof complexity-the proof search problem for low depth Frege systems. We prove that if depth-3 Frege systems are weakly automatizable, then SSGs are solvable in polynomial-time. Moreover we identify a natural combinatorial principle, which is a version of the well-known Graph Ordering Principle (GOP), that we call the integer-valued GOP (IGOP). We prove that if depth-2 Frege plus IGOP is weakly automatizable, then SSG is in P.

[1]  Michael Alekhnovich,et al.  Resolution Is Not Automatizable Unless W[P] Is Tractable , 2008, SIAM J. Comput..

[2]  Rafal Somla New Algorithms for Solving Simple Stochastic Games , 2005, Electron. Notes Theor. Comput. Sci..

[3]  Albert Atserias,et al.  Mean-Payoff Games and Propositional Proofs , 2010, ICALP.

[4]  Ran Raz,et al.  On Interpolation and Automatization for Frege Systems , 2000, SIAM J. Comput..

[5]  Massimo Lauria,et al.  Optimality of size-degree tradeoffs for polynomial calculus , 2010, TOCL.

[6]  Walter Ludwig,et al.  A Subexponential Randomized Algorithm for the Simple Stochastic Game Problem , 1995, Inf. Comput..

[7]  Anne Condon,et al.  On Algorithms for Simple Stochastic Games , 1990, Advances In Computational Complexity Theory.

[8]  Florian Horn,et al.  Simple Stochastic Games with Few Random Vertices Are Easy to Solve , 2008, FoSSaCS.

[9]  Ian Stark,et al.  Free-Algebra Models for the pi-Calculus , 2005, FoSSaCS.

[10]  Nir Halman,et al.  Simple Stochastic Games, Parity Games, Mean Payoff Games and Discounted Payoff Games Are All LP-Type Problems , 2007, Algorithmica.

[11]  Maria Luisa Bonet,et al.  Optimality of size-width tradeoffs for resolution , 2001, computational complexity.

[12]  Xiaotie Deng,et al.  Settling the Complexity of Two-Player Nash Equilibrium , 2006, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06).

[13]  Xiaotie Deng,et al.  Settling the complexity of computing two-player Nash equilibria , 2007, JACM.

[14]  Maria Luisa Bonet,et al.  On the automatizability of resolution and related propositional proof systems , 2002, Inf. Comput..

[15]  Anne Condon,et al.  The Complexity of Stochastic Games , 1992, Inf. Comput..

[16]  Vinod Kumar,et al.  Algorithmic Results in Simple Stochastic Games , 2004 .

[17]  Robin Milner,et al.  On Observing Nondeterminism and Concurrency , 1980, ICALP.

[18]  Henrik Björklund,et al.  Combinatorial structure and randomized subexponential algorithms for infinite games , 2005, Theor. Comput. Sci..

[19]  Daniel Leivant,et al.  Logic and Computational Complexity , 1995, Lecture Notes in Computer Science.

[20]  Stephen Cook,et al.  Corrections for "On the lengths of proofs in the propositional calculus preliminary version" , 1974, SIGA.

[21]  Paul W. Goldberg,et al.  The complexity of computing a Nash equilibrium , 2006, STOC '06.

[22]  L. Shapley,et al.  Stochastic Games* , 1953, Proceedings of the National Academy of Sciences.

[23]  Russell Impagliazzo,et al.  Using the Groebner basis algorithm to find proofs of unsatisfiability , 1996, STOC '96.

[24]  Joshua Buresh-Oppenheim,et al.  Relativized NP search problems and propositional proof systems , 2004, Proceedings. 19th IEEE Annual Conference on Computational Complexity, 2004..

[25]  Peter Bro Miltersen,et al.  The Complexity of Solving Stochastic Games on Graphs , 2009, ISAAC.

[26]  Jan Krajícek,et al.  Some Consequences of Cryptographical Conjectures for S_2^1 and EF , 1994, LCC.

[27]  M. Blum,et al.  Non-monotone Behaviors in MIN / MAX / AVG Circuits and their Relationship to Simple Stochastic Games ∗ , 2006 .