Interchangeability in Soft CSPs. Bistarelli, S., Faltings, B., & Neagu, N. 2003.
doi  abstract   bibtex   
Substitutability and interchangeability in constraint satisfaction problems (CSPs) have been used as a basis for search heuristics, solution adaptation and abstraction techniques. In this paper, we consider how the same concepts can be extended to soft constraint satisfaction problems (SCSPs). We introduce two notions: threshold a and degradation delta for substitutability and interchangeability, ((alpha)substitutability/interchangeability and (delta)substitutability/interchangeability respectively). We show that they satisfy analogous theorems to the ones already known for hard constraints. In interchangeability, values are interchangeable in any solution that is better than a threshold alpha, thus allowing to disregard differences among solutions that are not sufficiently good anyway. In (delta)interchangeability, values are interchangeable if their exchange could not degrade the solution by more than a factor of delta. We give efficient algorithms to compute (delta/alpha) interchangeable sets of values for a large class of SCSPs.
@conference{
	11391_142688,
	author = {Bistarelli, Stefano and Faltings, Boi and Neagu, Nicoleta},
	title = {Interchangeability in Soft CSPs},
	year = {2003},
	publisher = {SPRINGER-VERLAG},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {2627},
	booktitle = {RECENT ADVANCES IN CONSTRAINTS},
	abstract = {Substitutability and interchangeability in constraint satisfaction problems (CSPs) have been used as a basis for search heuristics, solution adaptation and abstraction techniques. In this paper, we consider how the same concepts can be extended to soft constraint satisfaction problems (SCSPs). 

We introduce two notions: threshold a and degradation delta for substitutability and interchangeability, ((alpha)substitutability/interchangeability and (delta)substitutability/interchangeability respectively). We show that they satisfy analogous theorems to the ones already known for hard constraints. In interchangeability, values are interchangeable in any solution that is better than a threshold alpha, thus allowing to disregard differences among solutions that are not sufficiently good anyway. In (delta)interchangeability, values are interchangeable if their exchange could not degrade the solution by more than a factor of delta. 

We give efficient algorithms to compute (delta/alpha) interchangeable sets of values for a large class of SCSPs.},
	keywords = {CONSTRAINT SATISFACTION},
	doi = {10.1007/3-540-36607-5_3},	
	pages = {31--46}
}

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