@article{TEXTUAL,
      recid = {10615},
      author = {Sudakow, Ivan and Reinitz, John and Vakulenko, Sergey A.  and Grigoriev, Dima},
      title = {Evolution of biological cooperation: An algorithmic  approach},
      journal = {Scientific Reports},
      address = {2024-01-17},
      number = {TEXTUAL},
      abstract = {This manuscript presents an algorithmic approach to  cooperation in biological systems, drawing on fundamental  ideas from statistical mechanics and probability theory.  Fisher’s geometric model of adaptation suggests that the  evolution of organisms well adapted to multiple constraints  comes at a significant complexity cost. By utilizing  combinatorial models of fitness, we demonstrate that the  probability of adapting to all constraints decreases  exponentially with the number of constraints, thereby  generalizing Fisher’s result. Our main focus is  understanding how cooperation can overcome this adaptivity  barrier. Through these combinatorial models, we demonstrate  that when an organism needs to adapt to a multitude of  environmental variables, division of labor emerges as the  only viable evolutionary strategy.},
      url = {http://knowledge.uchicago.edu/record/10615},
}