Competitive Belief Propagation to Efficiently Solve Complex Multi-agent Negotiations with Network Structure.
Ivan Marsá-MaestreJosé Manuel Giménez-GuzmánEnrique de la HozDavid OrdenPublished in: AAMAS Workshops (Visionary Papers) (2017)
Keyphrases
- belief propagation
- network structure
- graphical models
- multi agent
- message passing
- markov random field
- graph cuts
- structure learning
- approximate inference
- stereo matching
- social networks
- pairwise
- complex networks
- markov networks
- loopy belief propagation
- probabilistic model
- fixed point
- probabilistic graphical models
- free energy
- factor graphs
- energy minimization
- energy function
- search space
- probabilistic inference
- image denoising
- random variables
- conditional independence
- particle filter
- multi agent systems
- bayesian networks