Upper and lower bounds on the complexity of generalised resolution and generalised constraint satisfaction problems
Capturing propositional logic, constraint satisfaction problems and systems of polynomial equations, we introduce the notion of systems with finite instantiation by partial assignments, fipa-systems for short, which are independent of special representations of problem instances, but which are based on an axiomatic approach with instantiation ( or substitution) by partial assignments as the fundamental notion. Fipa-systems seem to constitute the most general framework allowing for a theory of resolution with nontrivial upper and lower bounds. For every fipa-system we generalise relativised hierarchies originating from generalised Horn formulas [14,26,33,43], and obtain hierarchies of problem instances with recognition and satisfiability decision in polynomial time and linear space, quasi-automatising relativised and generalised tree resolution and utilising a general "quasi-tight" lower bound for tree resolution. And generalising width-restricted resolution from [ 7,14,25,33], for every fipa-system a ( stronger) family of hierarchies of unsatisfiable instances with polynomial time recognition is introduced, weakly automatising relativised and generalised full resolution and utilising a general lower bound for full resolution generalising [7,17,25,33].
generalised resolution constraint satisfaction problems propositional logic satisfiability problem (sat) systems with partial instantiation polynomial time hierarchies lower bounds for resolution upper bounds for sat algorithms automatisation of proof systems generalised input resolution generalised width restricted resolution induced width of constraint satisfaction problems