David Furcy

Papers

Total Citations

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About

David Furcy is a computer scientist whose research lies at the intersection of artificial intelligence, multiagent systems, and heuristic search. His work is particularly concerned with how teams of autonomous agents can coordinate effectively in complex, real-world environments. In his influential paper "Designing Effective Heterogeneous Teams for Multiagent Routing Domains," Furcy addresses a critical challenge: how to compose teams of agents with diverse skills to maximize performance in domains like disaster response or logistics. He demonstrates that the distribution of capabilities within a team is not incidental but a key design parameter. While this specific paper has garnered 3 citations, its ideas are foundational to understanding team composition in AI. Furcy is also widely recognized for his contributions to heuristic search algorithms, including work on IDA* and memory-bounded search, which have been cited hundreds of times and are essential reading for students of AI. His research continues to shape how we think about both the theoretical limits and practical design of intelligent, cooperative systems.