Satisfiability Oriented Family Financial Planning Based on Probabilistic Planning
RAO Dongning
YANG Zijing
Abstract：Family financial planning can help families create a financial plan to take control of their finances,improve life-style and achieve goals.In the past,professional financial planners did this work,which is expensive,time consuming,and with a lot of manual intervention.Currently,automated financial planning relies on linear programming,which has poor explainability and does not conform to the probabilistic and parallel characteristics of financial action.Therefore a method of family financial planning based on probabilistic planning is proposed.This paper models the family financial planning domain and describes it using the rela-tional dynamic influence diagram language(RDDL).Secondly,the generated RDDL domain files and the RDDL problem files for each family are solved using a probabilistic planner.The concept of satisfaction is also introduced in the modelling to establish a re-ward function oriented to family satisfiability.Experiments show that the method is more explainability,better quality and more effi-cient than linear programming and commercial methods.At the same time the use of satisfiability evaluation to simulate the probabi-listic and parallel nature of the financial domain can obtain better action sequences.
Keywords：automated planningprobabilistic planningfamily financial planningautomated financial planningsatisfi-ability
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：6( 3127-3132 )