معرفی
Professor James A. R. Marshall serves as Director of the Centre for Machine Intelligence and Professor of Theoretical and Computational Biology at the University of Sheffield. He also divides his time with Opteran Technologies, where he is Founder Science Officer, bridging academic research with commercial applications in bio-inspired robotics and AI. Dr. Marshall leads the Behavioural and Evolutionary Theory (BET) Lab, which focuses on understanding biological decision-making systems and translating these principles into computational algorithms.
Marshall's research spans multiple disciplines at the intersection of biology, computer science, and mathematics. His primary interests include biologically-inspired algorithms, cognitive behavior, decision theory, theoretical neuroscience, evolutionary theory, mathematical biology, social evolution, and social insect behavior. His work particularly emphasizes how collective intelligence emerges from simple individual behaviors in biological systems, with applications to robotics, AI, and distributed computing systems. A notable contribution is his book Social Evolution and Inclusive Fitness Theory: An Introduction published by Princeton University Press in 2015.
Analysis of Marshall's recent publications reveals a strong focus on optimal decision-making processes across multiple scales - from neural circuits to social insect colonies. His work consistently explores the speed-accuracy tradeoffs in decision systems, confidence-weighted collective decisions, and bio-inspired approaches to robotics and AI. A unifying theme is the application of evolutionary theory to understand and engineer intelligent systems.
- EPSRC Programme Grant: "Brains on Board: Neuromorphic Control of Flying Robots" (Principal Investigator)
- ERC Consolidator Grant: "DiODe: Distributed Algorithms for Optimal Decision Making" (Principal Investigator)
- EPSRC/BBSRC Grant: "AIBACS: Social Insects, Simulated Evolution and Biologically Inspired Algorithms" (Co-Investigator)
- BBSRC Project: "Optimal Collective Decision-Making in Social Insect Colonies" (Principal Investigator)
- EPSRC Project: "Green Brain: Computational Modelling of the Honeybee Brain" (Principal Investigator)
Marshall serves on multiple editorial boards including Swarm Intelligence (2017-present) and has been an EPSRC Peer Review College Member since 2010. His BET Lab has produced influential work connecting neuroscience, collective behavior, and computational algorithms, with applications in robotics and AI systems. Current research directions include neuromorphic computing inspired by insect brains and optimal decision-making frameworks for autonomous systems.
