Cooperative searching for stochastic targets

8 years 13 days ago
Cooperative searching for stochastic targets
Spatial search problems abound in the real world, from locating hidden nuclear or chemical sources to finding skiers after an avalanche. We exemplify the formalism and solution for spatial searches involving two agents that may or may not choose to share information during a search. For certain classes of tasks, sharing information between multiple searchers makes cooperative searching advantageous. In some examples, agents are able to realize synergy by aggregating information and moving based on local judgments about maximal information gathering expectations. We also explore one- and two-dimensional simplified situations analytically and numerically to provide a framework for analyzing more complex problems. These general considerations provide a guide for designing optimal algorithms for real-world search problems.
Vadas Gintautas, Aric A. Hagberg, Luís M. A
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CORR
Authors Vadas Gintautas, Aric A. Hagberg, Luís M. A. Bettencourt
Comments (0)