Belief Optimization

Views Updated: Dec 15, 2025

Abbreviation

Pronunciation

/bɪˈlif ɑptɪmɪˈzeɪʃən/

Belief propagation algorithm is the optimization algorithm based on global energy function minimization. Through information propagation between pixels, it will get the highest degree of confidence, while energy optimization function is the most stable.
We intend to apply maximal invariable belief change operator into multi-agent systems and prove maximal invariable belief change operator is a pareto optimization.
Each source agent possesses the capacity of learning and reasoning based on its belief and goal, and multi agents interact with each other to support the dynamic query optimization and plan execution.
There are many optimization methods such as dynamic programming, graph cuts, belief propagation and so on.

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