Heuristic search for target-value path problem

Details

Event

2008-07-13

Speakers

Lukas Kuhn
Tim Schmidt
Rong Zhou
Minh Do
Event

Heuristic search for target-value path problem

We define a class of combinatorial search problems in which the objective is to find a set of paths in a graph whose elements’ value is as close as possible to some target value. Unlike the usual shortest path problem, the goal is not necessarily to find paths with minimum length. We show that in most cases it is possible to decompose the problem into components where heuristic search can be used. We demonstrate the benefits of this approach on a synthetic domain and illustrate an instantiation of the approach for a problem in model-based diagnosis.

Additional information

Focus Areas

Our work is centered around a series of Focus Areas that we believe are the future of science and technology.

FIND OUT MORE
Licensing & Commercialization Opportunities

We’re continually developing new technologies, many of which are available for Commercialization.

FIND OUT MORE
News

PARC scientists and staffers are active members and contributors to the science and technology communities.

FIND OUT MORE