Theresa Doherty
Papers
1
Total Citations
7
H-Index
1
About
Theresa Doherty is a researcher whose work bridges artificial life, evolutionary robotics, and autonomous agent behavior. Her most-cited paper, "Evolution and Prioritization of Survival Strategies for a Simulated Robot in Xpilot" (2005, 7 citations), introduces a novel approach to enabling autonomous agents to learn and prioritize multiple survival strategies simultaneously. Using genetic algorithms, Doherty demonstrates how simulated robots can evolve reactive behaviors while dynamically determining the relative importance of different strategies—a critical challenge in creating adaptive, self-sufficient agents. This work contributes to foundational questions in evolutionary computation and situated robotics, showing how artificial evolution can solve multi-faceted learning problems without explicit human programming. Though her citation count is modest, Doherty's research offers valuable insights for students and researchers exploring how autonomous systems can balance competing objectives in real-time environments. Her approach remains relevant for those studying adaptive behavior, evolutionary robotics, and the intersection of artificial intelligence with biological principles of survival and learning.
Research Focus
Key Achievements
Top Papers
- 1