We describe enhancements underway to our probabilistic argument mapping framework called FUSION. Exploratory modeling in the domain of intelligence analysis has highlighted requirements for additional knowledge representation and reasoning capabilities, particularly regarding argument map nodes that are specified as propositional logic functions of other nodes. We also describe more flexible specifications for link strengths and node prior probabilities. We expect these enhancements to find general applicability across problem domains.