On the Average Path Length of Deterministic and Stochastics Recursive Networks. - Philippe J. Giabbanelli; Dorian Mazauric; Jean-Claude Bermond (CompleNet, 2010)

The Small-World Property in Networks Growing by Active Edges. - Philippe J. Giabbanelli (Adv. Complex Syst., 2011)

SYNTHESE. Réseaux complexes et épidémies. - Philippe J. Giabbanelli; Joseph G. Peters (Tech. Sci. Informatiques, 2011)

A Novel Framework for Complex Networks and Chronic Diseases. - Philippe J. Giabbanelli (CompleNet, 2012)

Rebel with many causes: A computational model of insurgency. - Simon F. Pratt; Philippe J. Giabbanelli; Piper J. Jackson; Vijay Kumar Mago (ISI, 2012)

A fuzzy cognitive map of the psychosocial determinants of obesity. - Philippe J. Giabbanelli; Thomas Torsney-Weir; Vijay Kumar Mago (Appl. Soft Comput., 2012)

Modeling the influence of social networks and environment on energy balance and obesity. - Philippe J. Giabbanelli; Azadeh Alimadad; Vahid Dabbaghian; Diane T. Finegood (J. Comput. Sci., 2012)

Supporting a Participant-Centric Management of Obesity via a Self-improving Health Game. - Philippe J. Giabbanelli; Penny Deck; Lisa Andres; Thecla Schiphorst; Diane T. Finegood (HCI (22), 2013)

Detecting unfolding crises with Visual Analytics and Conceptual Maps Emerging phenomena and big data. - Simon F. Pratt; Philippe J. Giabbanelli; Jean-Sebastien Mercier (ISI, 2013)

An Agent-Based Social Network Model of Binge Drinking Among Dutch Adults. - Philippe J. Giabbanelli; Rik Crutzen (J. Artif. Soc. Soc. Simul., 2013)

Modelling the spatial and social dynamics of insurgency. - Philippe J. Giabbanelli (Secur. Informatics, 2014)

Modelling the Joint Effect of Social Determinants and Peers on Obesity Among Canadian Adults. - Philippe J. Giabbanelli; Piper J. Jackson; Diane T. Finegood (Theories and Simulations of Complex Social Systems, 2014)

Using Visual Analytics to Support the Integration of Expert Knowledge in the Design of Medical Models and Simulations. - Philippe J. Giabbanelli; Piper J. Jackson (ICCS, 2015)

An Algebraic Approach to Combining Classifiers. - Philippe J. Giabbanelli; Joseph G. Peters (ICCS, 2015)

Exploring the Relationship between Adherence to Treatment and Viral Load through a New Discrete Simulation Model of HIV Infectivity. - Ela Rana; Philippe J. Giabbanelli; Naga H. Balabhadrapathruni; Xiaoyu Li; Vijay Kumar Mago (SIGSIM-PADS, 2015)

An Algebra to Merge Heterogeneous Classifiers. - Philippe J. Giabbanelli; Joseph G. Peters (CoRR, 2015)

Supporting self-management of obesity using a novel game architecture. - Philippe J. Giabbanelli; Rik Crutzen (Health Informatics J., 2015)

Feasibility and Framing of Interventions Based on Public Support: Leveraging Text Analytics for Policymakers. - Philippe J. Giabbanelli; Jean Adams; Venkata Sai Pillutla (HCI (12), 2016)

A Novel Visualization Environment to Support Modelers in Analyzing Data Generated by Cellular Automata. - Philippe J. Giabbanelli; Guru Jagadeesh Babu; Magda Baniukiewicz (HCI (15), 2016)

Teaching Computational Modeling in the Data Science Era. - Philippe J. Giabbanelli; Vijay Kumar Mago (ICCS, 2016)

Supporting a systems approach to healthy weight interventions in British Columbia by modeling weight and well-being. - Tanner Verigin; Philippe J. Giabbanelli; Pål I. Davidsen (SpringSim (ANSS), 2016)

Special Issue on Intelligent Healthcare Systems. - Vijay Kumar Mago; Philippe J. Giabbanelli (J. Intell. Syst., 2016)

Combining association rule mining and network analysis for pharmacosurveillance. - Eugene Belyi; Philippe J. Giabbanelli; Indravadan Patel; Naga Harish Balabhadrapathruni; Aymen Ben Abdallah; Wedyan Hameed; Vijay Kumar Mago (J. Supercomput., 2016)

Analyzing and simplifying model uncertainty in fuzzy cognitive maps. - Eric A. Lavin; Philippe J. Giabbanelli (WSC, 2017)

Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations. - Philippe J. Giabbanelli; Rik Crutzen (Comput. Math. Methods Medicine, 2017)

Combining fuzzy cognitive maps with agent-based modeling: Frameworks and pitfalls of a powerful hybrid modeling approach to understand human-environment interactions. - Philippe J. Giabbanelli; Steven A. Gray 001; Payam Aminpour (Environ. Model. Softw., 2017)

The nature and level of learner-learner interaction in a chemistry massive open online course (MOOC). - Andrew A. Tawfik; Todd D. Reeves; Amy E. Stich; Anila Gill; Chenda Hong; Joseph McDade; Venkata Sai Pillutla; Xiaoshu Zhou; Philippe J. Giabbanelli (J. Comput. High. Educ., 2017)

Erratum to: The nature and level of learner-learner interaction in a chemistry massive open online course (MOOC). - Andrew A. Tawfik; Todd D. Reeves; Amy E. Stich; Anila Gill; Chenda Hong; Joseph McDade; Venkata Sai Pillutla; Xiaoshu Zhou; Philippe J. Giabbanelli (J. Comput. High. Educ., 2017)

An Online Environment to Compare Students' and Expert Solutions to Ill-Structured Problems. - Vishrant K. Gupta; Philippe J. Giabbanelli; Andrew A. Tawfik (HCI (25), 2018)

Should we simulate mental models to assess whether they agree? - Eric A. Lavin; Philippe J. Giabbanelli; Andrew T. Stefanik; Steven A. Gray 001; Robert Arlinghaus (SpringSim (ANSS), 2018)

Effects of success v failure cases on learner-learner interaction. - Andrew A. Tawfik; Philippe J. Giabbanelli; Maureen Hogan; Fortunata Msilu; Anila Gill; Cindy S. York (Comput. Educ., 2018)

Tools and methods in participatory modeling: Selecting the right tool for the job. - Alexey A. Voinov; Karen E. Jenni; Steven Gray 001; Nagesh Kolagani; Pierre Glynn; Pierre Bommel; Christina Prell; Moira L. Zellner; Michael Paolisso; Rebecca Jordan; Eleanor Sterling; Laura Schmitt Olabisi; et al. (Environ. Model. Softw., 2018)

Capturing the fast-food landscape in England using large-scale network analysis. - Magda Baniukiewicz; Zachariah L. Dick; Philippe J. Giabbanelli (EPJ Data Sci., 2018)

The Artificial Facilitator: Guiding Participants in Developing Causal Maps Using Voice-Activated Technologies. - Thrishma Reddy; Philippe J. Giabbanelli; Vijay K. Mago (HCI (15), 2019)

From Social Media to Expert Reports: The Impact of Source Selection on Automatically Validating Complex Conceptual Models of Obesity. - Mannila Sandhu; Philippe J. Giabbanelli; Vijay K. Mago (HCI (13), 2019)

Mechanisms for Cell-to-cell and Cell-free Spread of HIV-1 in Cellular Automata Models. - Philippe J. Giabbanelli; Cole Freeman; Joshua A. Devita; Nicholas Rosso; Zabrina L. Brumme (SIGSIM-PADS, 2019)

CoFluences: Simulating the Spread of Social Influences via a Hybrid Agent-Based/Fuzzy Cognitive Maps Architecture. - Philippe J. Giabbanelli; Michele Fattoruso; Max L. Norman (SIGSIM-PADS, 2019)

Ideal, Best, and Emerging Practices in Creating Artificial Societies. - Philippe J. Giabbanelli; Alexey A. Voinov; Brian Castellani; Petter Törnberg (SpringSim, 2019)

The Intersection of Agent Based Models and Fuzzy Cognitive Maps: A Review of an Emerging Hybrid Modeling Practice. - Christopher W. H. Davis; Philippe J. Giabbanelli; Antonie J. Jetter (WSC, 2019)

Solving Challenges at the Interface of Simulation and Big Data Using Machine Learning. - Philippe J. Giabbanelli (WSC, 2019)

Identifying the Components and Interrelationships of Smart Cities in Indonesia: Supporting Policymaking via Fuzzy Cognitive Systems. - Hendra Sandhi Firmansyah; Suhono H. Supangkat; Arry Akhmad Arman; Philippe J. Giabbanelli (IEEE Access, 2019)

Iterative generation of insight from text collections through mutually reinforcing visualizations and fuzzy cognitive maps. - Venkata Sai Pillutla; Philippe J. Giabbanelli (Appl. Soft Comput., 2019)

From associations to sarcasm: Mining the shift of opinions regarding the Supreme Court on twitter. - Mannila Sandhu; C. Danielle Vinson; Vijay K. Mago; Philippe J. Giabbanelli (Online Soc. Networks Media, 2019)

Overcoming the PBL Assessment Challenge: Design and Development of the Incremental Thesaurus for Assessing Causal Maps (ITACM). - Philippe J. Giabbanelli; Andrew A. Tawfik (Technol. Knowl. Learn., 2019)

Visual Analytics to Identify Temporal Patterns and Variability in Simulations from Cellular Automata. - Philippe J. Giabbanelli; Magda Baniukiewicz (ACM Trans. Model. Comput. Simul., 2019)

Reducing the Gap Between the Conceptual Models of Students and Experts Using Graph-Based Adaptive Instructional Systems. - Philippe J. Giabbanelli; Andrew A. Tawfik (HCI (43), 2020)

Optimizing Discrete Simulations of the Spread of HIV-1 to Handle Billions of Cells on a Workstation. - Philippe J. Giabbanelli; Joshua A. Devita; Till Köster; Jared A. Kohrt (SIGSIM-PADS, 2020)

Fuzzy Cognitive Maps in Agent Based Models: A Practicial Implementation Example. - Christopher W. H. Davis; Antonie J. Jetter; Philippe J. Giabbanelli (SpringSim, 2020)

Predicting The Resource Needs And Outcomes of Computationally Intensive Biological Simulations. - Andrew Fisher 002; Bhisma Adhikari; Chao Zhai; Joshua E. Morgan; Vijay K. Mago; Philippe J. Giabbanelli (SpringSim, 2020)

Creating Perceptual Uncertainty in Agent-Based Models with Social Interactions. - Ethan O. Grantham; Philippe J. Giabbanelli (SpringSim, 2020)

How do Modelers Code Artificial Societies? Investigating Practices and Quality of Netlogo Codes from Large Repositories. - Christopher Vendome; Dhananjai M. Rao; Philippe J. Giabbanelli (SpringSim, 2020)

Performance and Soundness of Simulation: A Case Study Based on a Cellular Automaton for In-Body Spread of HIV. - Till Köster; Philippe J. Giabbanelli; Adelinde M. Uhrmacher (WSC, 2020)

Detecting the Depth and Progression of Learning in Massive Open Online Courses by Mining Discussion Data. - Venkata Sai Pillutla; Andrew A. Tawfik; Philippe J. Giabbanelli (Technol. Knowl. Learn., 2020)

Are We Modeling the Evidence or Our Own Biases? A Comparison of Conceptual Models Created from Reports. - Alexander J. Freund; Philippe J. Giabbanelli (ANNSIM, 2021)

Automatically Combining Conceptual Models Using Semantic and Structural Information. - Alexander J. Freund; Philippe J. Giabbanelli (ANNSIM, 2021)

Opportunities and Challenges in Developing COVID-19 Simulation Models: Lessons from Six Funded Projects. - Philippe J. Giabbanelli; Jennifer M. Badham; Brian Castellani; Hamdi Kavak; Vijay Mago; Ashkan Negahban; Samarth Swarup (ANNSIM, 2021)

How Many Costly Simulations Do we Need to Create Accurate Metamodels? A Case Study on Predicting HIV Viral Load in Response to Clinically Relevant Intervention Scenarios. - Christopher B. Lutz; Philippe J. Giabbanelli; Andrew Fisher 002; Vijay K. Mago (ANNSIM, 2021)

Scaling Up The SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption Across Counties in Georgia: An Agent-Based Model. - Donglan Zhang; Janani J. Thapa; Gang Li; Heejung Son; Zhuo Chen; Lan Mu; Yan Li 017; Junxiu Liu; José A. Pagán; Philippe J. Giabbanelli (ANNSIM, 2021)

Why Honor Culture? Lessons Learned from an Agent-Based Simulation Model. - Kashif Zia; Philippe J. Giabbanelli; Muhammad Shafi; Alois Ferscha (ANNSIM, 2021)

Mapping the complexity of suicide by combining participatory modeling and network science. - Philippe J. Giabbanelli; Michael C. Galgoczy; Duc M. Nguyen; Romain Foy; Ketra L. Rice; Nisha Nataraj; Margaret M. Brown; Christopher R. Harper (ASONAM, 2021)

Design and evaluation of update schemes to optimize asynchronous Cellular Automata with random or cyclic orders. - Junjiang Li; Till Köster; Philippe J. Giabbanelli (DS-RT, 2021)

The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model. - Alexander J. Freund; Philippe J. Giabbanelli (ICCS (6), 2021)

How Do Teams of Novice Modelers Choose an Approach? An Iterated, Repeated Experiment in a First-Year Modeling Course. - Philippe J. Giabbanelli; Piper J. Jackson (ICCS (6), 2021)

Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model. - Junjiang Li; Philippe J. Giabbanelli (ICCS (3), 2021)

Comparing Implementations of Cellular Automata as Images: A Novel Approach to Verification by Combining Image Processing and Machine Learning. - Maciej K. Wozniak; Philippe J. Giabbanelli (SIGSIM-PADS, 2021)

Comparing the Effect of Code Optimizations on Simulation Runtime Across Synchronous Cellular Automata Models of HIV. - Junjiang Li; Philippe J. Giabbanelli; Till Köster (WSC, 2021)

How Modeling Methods for Fuzzy Cognitive Mapping Can Benefit From Psychology Research. - Samvel Mkhitaryan; Philippe J. Giabbanelli (WSC, 2021)

What's left before participatory modeling can fully support real-world environmental planning processes: A case study review. - B. Hedelin; Steven Gray 001; Stefan Woehlke; Todd K. BenDor; Alison Singer; Rebecca Jordan; Moira Zellner; Philippe J. Giabbanelli; Pierre Glynn; Karen E. Jenni; Antonie J. Jetter; Nagesh Kolagani; et al. (Environ. Model. Softw., 2021)

The application of modeling and simulation to public health: Assessing the quality of Agent-Based Models for obesity. - Philippe J. Giabbanelli; Boone Tison; James Keith (Simul. Model. Pract. Theory, 2021)

How Perspectives of a System Change Based on Exposure to Positive or Negative Evidence. - Philippe J. Giabbanelli; Andrew A. Tawfik (Syst., 2021)

Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data. - Maciej K. Wozniak; Samvel Mkhitaryan; Philippe J. Giabbanelli (ICCS (3), 2022)

Design and Deployment of a Simulation Platform: Case Study of an Agent-Based Model for Youth Suicide Prevention. - Joshua Huddleston; Michael C. Galgoczy; Kareem A. Ghumrawi; Philippe J. Giabbanelli; Ketra L. Rice; Nisha Nataraj; Margaret M. Brown; Christopher R. Harper; Curtis S. Florence (WSC, 2022)

Towards Reusable Building Blocks to Develop COVID-19 Simulation Models. - Shane A. Schroeder; Christopher Vendome; Philippe J. Giabbanelli; Alan M. Montfort (WSC, 2022)

Automatically Explaining a Model: Using Deep Neural Networks to Generate Text From Causal Maps. - Anish Shrestha; Kyle Mielke; Tuong Anh Nguyen; Philippe J. Giabbanelli (WSC, 2022)

A New Application of Machine Learning: Detecting Errors in Network Simulations. - Maciej K. Wozniak; Luke Liang; Hieu Phan; Philippe J. Giabbanelli (WSC, 2022)

Hybrid Models That Combine Machine Learning and Simulations. - Philippe J. Giabbanelli (Comput. Sci. Eng., 2022)

An Experimental Study on the Scalability of Recent Node Centrality Metrics in Sparse Complex Networks. - Alexander J. Freund; Philippe J. Giabbanelli (Frontiers Big Data, 2022)

Editorial: Scalable Network Generation & Analysis. - Philippe J. Giabbanelli; Samarth Swarup; Renaud Lambiotte; Giuseppe Mangioni (Frontiers Big Data, 2022)

(Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment. - Michael C. Galgoczy; Atharva Phatak; C. Danielle Vinson; Vijay K. Mago; Philippe J. Giabbanelli (PeerJ Comput. Sci., 2022)

FCMpy: a python module for constructing and analyzing fuzzy cognitive maps. - Samvel Mkhitaryan; Philippe J. Giabbanelli; Maciej K. Wozniak; Gonzalo Nápoles; Nanne K. de Vries; Rik Crutzen (PeerJ Comput. Sci., 2022)

Pathways to suicide or collections of vicious cycles? Understanding the complexity of suicide through causal mapping. - Philippe J. Giabbanelli; Ketra L. Rice; Michael C. Galgoczy; Nisha Nataraj; Margaret M. Brown; Christopher R. Harper; Minh Duc Nguyen; Romain Foy (Soc. Netw. Anal. Min., 2022)

Hybrid Agent-Based Simulation of Adoption Behavior and Social Interactions: Alternatives, Opportunities, and Pitfalls. - Ashkan Negahban; Philippe J. Giabbanelli (IEEE Trans. Comput. Soc. Syst., 2022)

Introduction to the Special Section on PADS 2020. - Philippe J. Giabbanelli; Christopher D. Carothers (ACM Trans. Model. Comput. Simul., 2022)

On the Necessity of Human Decision-Making Errors to Explain Vaccination Rates for Covid-19: an Agent-Based Modeling Study. - Jack Beerman; Gwendal G. Beaumont; Philippe J. Giabbanelli (ANNSIM, 2023)

Identifying the Building Blocks of Social Simulation Models: A Qualitative Analysis using Open-Source Codes in NetLogo. - Shannon Cheng; Philippe J. Giabbanelli; Zaiyi Kuang (ANNSIM, 2023)

Preserving Simulation Insight While Removing Data: Verification of Compressed Simulation Traces via Machine Learning. - My Nguyen; Duc Vu; Anh Vo; Luke Liang; Philippe J. Giabbanelli (ANNSIM, 2023)

Facilitating the Interoperability and Reuse of Extensions of Fuzzy Cognitive Maps. - Ryan Schuerkamp; Philippe J. Giabbanelli; Nicolas Daclin (ANNSIM, 2023)

Fast Generation of Heterogeneous Mental Models from Longitudinal Data by Combining Genetic Algorithms and Fuzzy Cognitive Maps. - David Bernard; Sylvain Cussat-Blanc; Philippe J. Giabbanelli (HICSS, 2023)

Software Technology to Develop Large-Scale Self-Adaptive Systems: Accelerating Agent-Based Models and Fuzzy Cognitive Maps via CUDA. - Kareem A. Ghumrawi; Kim Ha; Jack Beerman; John-David Rudie; Philippe J. Giabbanelli (HICSS, 2023)

Towards An Automatic Construction Of Simulation Scenarios: A Systematic Review. - Christopher W. H. Davis; Antonie J. Jetter; Philippe J. Giabbanelli (WSC, 2023)

GPT-Based Models Meet Simulation: How to Efficiently use Large-Scale Pre-Trained Language Models Across Simulation Tasks. - Philippe J. Giabbanelli (WSC, 2023)

How to combine models? Principles and mechanisms to aggregate fuzzy cognitive maps. - Ryan Schuerkamp; Philippe J. Giabbanelli; Umberto Grandi; Sylvie Doutre (WSC, 2023)

Data Science in Health Services. - Philippe J. Giabbanelli; Jennifer M. Badham (Inf., 2023)

Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study. - Philippe J. Giabbanelli; Chirag X. Vesuvala (Inf., 2023)

Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art. - Ryan Schuerkamp; Luke Liang; Ketra L. Rice; Philippe J. Giabbanelli (Comput., 2023)

A framework for the comparison of errors in agent-based models using machine learning. - Jack Beerman; Gwendal G. Beaumont; Philippe J. Giabbanelli (J. Comput. Sci., 2023)

Can Large Language Models Learn Conceptual Modeling by Looking at Slide Decks and Pass Graduate Examinations? An Empirical Study. - Noé Y. Flandre; Philippe J. Giabbanelli (ER (Workshops), 2024)

Combining Natural Language Generation and Graph Algorithms to Explain Causal Maps Through Meaningful Paragraphs. - Tyler J. Gandee; Philippe J. Giabbanelli (ER (Workshops), 2024)

Narrating Causal Graphs with Large Language Models. - Philippe J. Giabbanelli; Atharva Phatak; Vijay Mago; Ameeta Agrawal (HICSS, 2024)

Design and Development of a Collaborative Augmented Reality Environment for Systems Science. - Philippe J. Giabbanelli; Anish Shrestha; Loic Demay (HICSS, 2024)

Generative AI for Systems Thinking: Can a GPT Question-Answering System Turn Text into the Causal Maps Produced by Human Readers? - Philippe J. Giabbanelli; Nathan Witkowicz (HICSS, 2024)

Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike? - Philippe J. Giabbanelli; Jack Beerman (WSC, 2024)

Broadening Access to Simulations for End-Users via Large Language Models: Challenges and Opportunities. - Philippe J. Giabbanelli; Jose J. Padilla; Ameeta Agrawal (WSC, 2024)

Narrating Causal Graphs with Large Language Models. - Atharva Phatak; Vijay K. Mago; Ameeta Agrawal; Aravind Inbasekaran; Philippe J. Giabbanelli (CoRR, 2024)

Guiding prevention initiatives by applying network analysis to systems maps of adverse childhood experiences and adolescent suicide. - Benjamin D. Maldonado; Ryan Schuerkamp; Cassidy M. Martin; Ketra L. Rice; Nisha Nataraj; Margaret M. Brown; Christopher R. Harper; Curtis S. Florence; Philippe J. Giabbanelli (Netw. Sci., 2024)

Commemorating SIMULATION's 100th volume: selected articles by Editorial Board members. - Philippe J. Giabbanelli; Gabriel A. Wainer (Simul., 2024)

Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations. - Luke Liang; Hieu Phan; Philippe J. Giabbanelli (Simul., 2024)

Systems Thinking and Models in Public Health. - Philippe J. Giabbanelli; Andrew Page (Syst., 2024)

Extensions of Fuzzy Cognitive Maps: A Systematic Review. - Ryan Schuerkamp; Philippe J. Giabbanelli (ACM Comput. Surv., 2024)

Leveraging Artificial Intelligence and Participatory Modeling to Support Paradigm Shifts in Public Health: An Application to Obesity and Evidence-Based Policymaking. - Philippe J. Giabbanelli; Grace MacEwan (Inf., 2024)

Transitioning from Individuals to Groups in Knowledge Map Construction. - Bao Wang; Andrew A. Tawfik; Charles Wayne Keene; Philippe J. Giabbanelli (Technol. Knowl. Learn., 2024)

Identifying Informative Features to Evaluate Student Knowledge as Causal Maps. - Bao Wang; Philippe J. Giabbanelli (Int. J. Artif. Intell. Educ., 2024)

Big data meets storytelling: using machine learning to predict popular fanfiction. - Duy Nguyen; Stephen Zigmond; Samuel Glassco; Bach Tran; Philippe J. Giabbanelli (Soc. Netw. Anal. Min., 2024)

A Parameter-Free Model for the Online Spread of Far-Right Messages: Combining Agent-Based Models with Large-Language Models. - Stephen Zhong; Nathalie Japkowicz; Frédéric Amblard; Philippe J. Giabbanelli (ICCS (Workshops 2), 2025)

Benchmarking and Assessing Transformations Between Text and Causal Maps via Large Language Models. - Philippe J. Giabbanelli; Tyler J. Gandee; Ameeta Agrawal; Niyousha Hosseinichimeh (Appl. Ontology, 2025)

Automatically resolving conflicts between expert systems: An experimental approach using large language models and fuzzy cognitive maps from participatory modeling studies. - Ryan Schuerkamp; Hannah Ahlstrom; Philippe J. Giabbanelli (Knowl. Based Syst., 2025)

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools. - Philippe J. Giabbanelli; John Beverley; Istvan David; Andreas Tolk (CoRR, 2025)

Guiding evolutionary algorithms with large language models to learn fuzzy cognitive maps. - Ryan Schuerkamp; Philippe J. Giabbanelli (Neural Comput. Appl., 2025)