The Computational Complexity of Dominance and Consistency in CP-Nets

01/15/2014
by   Judy Goldsmith, et al.
0

We investigate the computational complexity of testing dominance and consistency in CP-nets. Previously, the complexity of dominance has been determined for restricted classes in which the dependency graph of the CP-net is acyclic. However, there are preferences of interest that define cyclic dependency graphs; these are modeled with general CP-nets. In our main results, we show here that both dominance and consistency for general CP-nets are PSPACE-complete. We then consider the concept of strong dominance, dominance equivalence and dominance incomparability, and several notions of optimality, and identify the complexity of the corresponding decision problems. The reductions used in the proofs are from STRIPS planning, and thus reinforce the earlier established connections between both areas.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/11/2018

Interactive Learning of Acyclic Conditional Preference Networks

Learning of user preferences, as represented by, for example, Conditiona...
research
03/23/2020

Modeling Contrary-to-Duty with CP-nets

In a ceteris-paribus semantics for deontic logic, a state of affairs whe...
research
05/11/2018

Learning-induced categorical perception in a neural network model

In human cognition, the expansion of perceived between-category distance...
research
06/26/2018

Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting

Combinatorial preference aggregation has many applications in AI. Given ...
research
11/09/2016

Encoding monotonic multi-set preferences using CI-nets: preliminary report

CP-nets and their variants constitute one of the main AI approaches for ...
research
06/03/2020

Constraint Reductions

This is a commentary on the CP 2003 paper "Efficient cnf encoding of boo...

Please sign up or login with your details

Forgot password? Click here to reset