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Robert Greig

Biographic Data

ID1472076
NAMERobert Greig
GIVEN NAMESRobert
FAMILY NAMEGreig
SIGNATUREGREIG R
AFFILIATIONSGoogle DeepMind (United Kingdom)
ORCID0000-0001-5795-9720
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS3
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR1941
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Learning Interpretable Logic for Agent-Based Models from Domain Independent Primitives

    Open Access•Robert Greig, Chris Major et al.•ARTICLE•Journal of Artificial Societies…•2023

    Genetic programming (GP) is a powerful method applicable to Inverse Generative Social Science (IGSS) for learning non-trivial agent logic in agent-based models (ABMs). While previous attempts at using evolutionary algorithms for learning ABM structures have focused on recombining domain-specific primitives, this paper extends prior work by developing techniques to evolve interpretable agent logic from scratch using a highly flexible domain-specif…

  • A dynamic microsimulation model for epidemics

    Open Access•Frank Spooner, Jesse F Abrams et al.•ARTICLE•Social Science & Medicine•2021•Cited by: 3•References: 28

  • Programme for Agriculture

    Robert Greig•ARTICLE•International Affairs•1941

  • A dynamic microsimulation model for epidemics

    Open Access•Frank Spooner, Jesse F Abrams et al.•ARTICLE•Social Science & Medicine•2021•Cited by: 3•References: 28

  • Programme for Agriculture

    Robert Greig•ARTICLE•International Affairs•1941

  • A dynamic microsimulation model for epidemics

    Open Access•Frank Spooner, Jesse F Abrams et al.•ARTICLE•Social Science & Medicine•2021•Cited by: 3•References: 28

  • Learning Interpretable Logic for Agent-Based Models from Domain Independent Primitives

    Open Access•Robert Greig, Chris Major et al.•ARTICLE•Journal of Artificial Societies…•2023

    Genetic programming (GP) is a powerful method applicable to Inverse Generative Social Science (IGSS) for learning non-trivial agent logic in agent-based models (ABMs). While previous attempts at using evolutionary algorithms for learning ABM structures have focused on recombining domain-specific primitives, this paper extends prior work by developing techniques to evolve interpretable agent logic from scratch using a highly flexible domain-specif…

Computer Science (2 works) · Economics (2 works) · Geography (2 works) · Agricultural economics (1 works) · Agricultural Economics and Practices (1 works) · Agricultural Innovations and Practices (1 works) · Agricultural risk and resilience (1 works) · Agricultural science (1 works) · Agriculture (1 works) · Archaeology (1 works)

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