1 citations · 2 across the 4 of their papers we have counts for
4 papers
Broadening Access to Simulations for End-Users via Large Language Models: Challenges and Opportunities
Philippe J. Giabbanelli, Jose J. Padilla, Ameeta Agrawal
Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although…
Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike?
Philippe J. Giabbanelli, Jack T. Beerman
While Agent-Based Models can create detailed artificial societies based on individual differences and local context, they can be computationally intensive. Modelers may offset thes…
Narrating Causal Graphs with Large Language Models
Atharva Phatak, Vijay K. Mago, Ameeta Agrawal +2
The use of generative AI to create text descriptions from graphs has mostly focused on knowledge graphs, which connect concepts using facts. In this work we explore the capability…
An Algebra to Merge Heterogeneous Classifiers
Philippe J. Giabbanelli, Joseph G. Peters
In distributed classification, each learner observes its environment and deduces a classifier. As a learner has only a local view of its environment, classifiers can be exchanged a…