Michalina Pacholska

• 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

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  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…

• Highly accurate protein structure prediction with AlphaFold

  Open Access•John Jumper, Richard Evans et al.•ARTICLE•Nature•2021

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  Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort 1–4 , the structures of around 100,000 unique proteins have been determined 5 , but this represents a small fraction of the billions of known protein sequences 6,7 . Structural coverage is bottlenecked by the months to years of painstaking effort required to determine a single prot…

• Highly accurate protein structure prediction with AlphaFold

  Open Access•John Jumper, Richard Evans et al.•ARTICLE•Nature•2021

  Incluir item

  Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort 1–4 , the structures of around 100,000 unique proteins have been determined 5 , but this represents a small fraction of the billions of known protein sequences 6,7 . Structural coverage is bottlenecked by the months to years of painstaking effort required to determine a single prot…

• 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

  Incluir item

  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 obras) · Machine learning (2 obras) · Artificial Intelligence (1 obra) · Artificial Intelligence (1 obra) · Artificial neural network (1 obra) · Biology (1 obra) · CASP (1 obra) · Cognitive science (1 obra) · Computational biology (1 obra) · Domain (mathematical analysis (1 obra)