Department of Philosophy, University of Calgary
Maria Rebolleda-Gomez, Department of Ecology and Evolutionary Biology, University of California Irvine; Nahui Medina-Chavez, Department of Ecology, Evolution and Behavior and BioTechnology Institute, University of Minnesota; Valaria Souza, Department of Evolutionary Ecology of the Institute of Ecology, UNAM (National Autonomous University of Mexico); Michael Travisano, Department of Ecology, Evolution and Behavior and BioTechnology Institute and Minnesota Center for Philosophy of Science, University of Minnesota
Improving upon Aristotle’s account of agency has eluded biologists and philosophers. This project develops a pragmatic approach for learning about agency by investigating the dynamics underlying the evolution of agency (rather than constructing theoretical definitions of agency).
We use a minimal concept of agency to design experiments employing three material models. The biological entities in these models effectively identify and choose evolutionary pathways encompassing novel directions of change. We hypothesize that eco-evolutionary feedback is central to evolutionary innovation: preexisting ecology shapes evolutionary outcomes, which subsequently shape ecology, and these feedbacks open new pathways that can be selected.
To investigate how agency can originate in simple non-cellular systems, we trace its emergence in a new model for experimental evolution, which consists of single-stranded DNA. We follow the co-evolution of microbial species in a laboratory community to investigate how agency evolves in preexisting complex systems.
To investigate how the evolution of agency can be constrained, we track evolution in a field model in which there has been significant evolutionary change without the dramatic innovations that have occurred elsewhere. These models enable us to investigate evolution as it is occurring. Together, they provide a broad scope for exploring and depicting the dynamics underlying the evolution of agency. This project demonstrates how material models can be used to play roles attributed to the use of mathematical, computational, and verbal models. To explore how material models can be used to play these roles, philosophers and scientists regularly meet as the empirical research is conducted. This conceptual work will, in turn, influence and inform the design of experiments.
01/12/2024
01/06/2027