AbstractWe consider inclusion relations among a multitude of classical complexity classes and classes with probabilistic components. A key tool is a method for characterizing such classes in terms of the ordinary quantifiers ∃ and ∠ together with a quantifier ∃+, which means roughly “for most,” applied to polynomial-time predicates. This approach yields a uniform treatment which leads to easier proofs for class-inclusion and hierarchy-collapse results. Furthermore, the method captures some recently introduced game classes and game hierarchies. This survey also includes a charting of class-inclusion and oracle-based separation results
The probabilistic (or quantitative) modal μ-calculus is a fixed-point logic designed for expressing ...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...
This thesis is a study of separations of some complexity classes which take place in almost all rel...
AbstractWe consider inclusion relations among a multitude of classical complexity classes and classe...
In this paper, we study the game-theoretic and computational repercussions of Henkin’s partially ord...
The existence of immune and simple sets in relativizations of the probabilistic polynomial time boun...
AbstractGeneral properties and proof techniques concerning probabilistic complexity classes are disc...
AbstractWe define a probabilistic game automaton, a general model of a two-person game. We show how ...
We investigate algebraic, logical, and geometric properties of concepts recognized by various class...
In a recent paper, the author has shown how Interaction Graphs models for linear logic can be used t...
Various types of probabilistic algorithms play an increasingly important role in computer science, e...
We investigate hierarchical properties and log-space reductions of languages recognized by log-space...
We investigate algebraic, logical, and geomet-ric properties of concepts recognized by vari-ous clas...
Many computable problems can be solved more efficiently or in a more natural way through probabilist...
A Quantified Linear Implication (QLI) is an inclusion query over two polyhedral sets, with a quanti...
The probabilistic (or quantitative) modal μ-calculus is a fixed-point logic designed for expressing ...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...
This thesis is a study of separations of some complexity classes which take place in almost all rel...
AbstractWe consider inclusion relations among a multitude of classical complexity classes and classe...
In this paper, we study the game-theoretic and computational repercussions of Henkin’s partially ord...
The existence of immune and simple sets in relativizations of the probabilistic polynomial time boun...
AbstractGeneral properties and proof techniques concerning probabilistic complexity classes are disc...
AbstractWe define a probabilistic game automaton, a general model of a two-person game. We show how ...
We investigate algebraic, logical, and geometric properties of concepts recognized by various class...
In a recent paper, the author has shown how Interaction Graphs models for linear logic can be used t...
Various types of probabilistic algorithms play an increasingly important role in computer science, e...
We investigate hierarchical properties and log-space reductions of languages recognized by log-space...
We investigate algebraic, logical, and geomet-ric properties of concepts recognized by vari-ous clas...
Many computable problems can be solved more efficiently or in a more natural way through probabilist...
A Quantified Linear Implication (QLI) is an inclusion query over two polyhedral sets, with a quanti...
The probabilistic (or quantitative) modal μ-calculus is a fixed-point logic designed for expressing ...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...
This thesis is a study of separations of some complexity classes which take place in almost all rel...