Name
Title | ||
|---|---|---|
A Sampling-Based Bayesian Approach for Cooperative Multiagent Online Search With Resource Constraints. |
Abstract | ||
|---|---|---|
This paper presents a cooperative multiagent search algorithm to solve the problem of searching for a target on a 2-D plane under multiple constraints. A Bayesian framework is used to update the local probability density functions (PDFs) of the target when the agents obtain observation information. To obtain the global PDF used for decision making, a sampling-based logarithmic opinion pool algorit... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2715228 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Probability density function,Search problems,Bayes methods,Optimization,Mobile communication,Cybernetics,Decision making | Data mining,Search algorithm,Computer science,Artificial intelligence,Optimization problem,Online search,Mathematical optimization,Expectation–maximization algorithm,Sampling (statistics),Probability density function,Mixture model,Machine learning,Bayesian probability | Journal |
Volume | Issue | ISSN |
48 | 6 | 2168-2267 |
Citations | PageRank | References |
7 | 0.46 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hu Xiao | 1 | 7 | 1.14 |
| Rongxin Cui | 2 | 330 | 14.59 |
| demin xu | 3 | 19 | 1.48 |