Kathleen Hoffman

University of Maryland, Baltimore County

Papers

Total Citations

H-Index

About

Kathleen Hoffman investigates the fundamental trade-offs that govern decision-making in biological and artificial systems, with a particular focus on the explore-versus-exploit dilemma. Her most-cited work, "Mode switching in organisms for solving explore-versus-exploit problems" (2023, 26 citations), provides a novel framework for understanding how organisms dynamically balance the costly acquisition of new information against the efficient use of existing knowledge. Hoffman's research elegantly bridges theoretical models with empirical observations, demonstrating how mode switching—alternating between exploration and exploitation phases—can optimize performance across diverse contexts, from foraging behavior to reinforcement learning and sensorimotor control. Her contributions have significant implications for robotics, artificial intelligence, and behavioral ecology, offering a unified perspective on how agents navigate uncertainty. With her work already garnering attention in interdisciplinary circles, Hoffman is establishing herself as a rising voice in computational neuroscience and adaptive behavior. Her insights not only illuminate natural intelligence but also inform the design of more efficient autonomous systems.