More Like this

1. The Multiple Paths to Multiple Life

   https://doi.org/10.1007/s00239-021-10016-2  

   Kempes, Christopher P.; Krakauer, David C. (July 2021, Journal of Molecular Evolution)

   Abstract We argue for multiple forms of life realized through multiple different historical pathways. From this perspective, there have been multiple origins of life on Earth—life is not a universal homology. By broadening the class of originations, we significantly expand the data set for searching for life. Through a computational analogy, the origin of life describes both the origin of hardware (physical substrate) and software (evolved function). Like all information-processing systems, adaptive systems possess a nested hierarchy of levels, a level of function optimization (e.g., fitness maximization), a level of constraints (e.g., energy requirements), and a level of materials (e.g., DNA or RNA genome and cells). The functions essential to life are realized by different substrates with different efficiencies. The functional level allows us to identify multiple origins of life by searching for key principles of optimization in different material form, including the prebiotic origin of proto-cells, the emergence of culture, economic, and legal institutions, and the reproduction of software agents. 

   more » « less
2. Multiple Improvements of Multiple Imputation Likelihood Ratio Tests

   https://doi.org/10.5705/ss.202019.0314  

   Chan, Kin Wai; Meng, Xiao-Li (January 2022, Statistica Sinica)
3. Provable Pathways: Learning Multiple Tasks over Multiple Paths

   Li, Yingcong; Oymak, Samet (February 2023, Proceedings of the AAAI Conference on Artificial Intelligence)
4. A Framework for Simulating Multiple Contagions Over Multiple Networks

   Kishore, Aparna; Machi, Lucas; Kuhlman, Chris J.; Machi, Dustin; Ravi, S.S. (January 2021, Complex Networks and Their Applications)

   null (Ed.)

   Many contagion processes evolving on populations do so simultaneously, interacting over time. Examples are co-evolution of human social processes and diseases, such as the uptake of mask wearing and disease spreading. Commensurately, multi-contagion agent-based simulations (ABSs) that represent populations as networks in order to capture interactions between pairs of nodes are becoming more popular. In this work, we present a new ABS system that simulates any number of contagions co-evolving on any number of networked populations. Individual (interacting) contagion models and individual networks are speci ed, and the system computes multi-contagion dynamics over time. This is a signi cant improvement over simulation frameworks that require union graphs to handle multiple networks, and/or additional code to orchestrate the computations of multiple contagions. We provide a formal model for the simulation system, an overview of the software, and case studies that illustrate applications of interacting contagions. 

   more » « less
5. A Framework for Simulating Multiple Contagions Over Multiple Networks

   https://doi.org/10.1007/978-3-030-93413-2_21  

   Kishore, Aparna; Machi, Lucas; Kuhlman, Chris J; Machi, Dustin; Ravi, S S. (January 2021, Complex Networks and their Applications)

   Many contagion processes evolving on populations do so simultaneously, interacting over time. Examples are co-evolution of human social processes and diseases, such as the uptake of mask wearing and disease spreading. Commensurately, multi-contagion agent-based simulations (ABSs) that represent populations as networks in order to capture interactions between pairs of nodes are becoming more popular. In this work, we present a new ABS system that simulates any number of contagions co-evolving on any number of networked populations. Individual (interacting) contagion models and individual networks are specified, and the system computes multi-contagion dynamics over time. This is a significant improvement over simulation frameworks that require union graphs to handle multiple networks, and/or additional code to orchestrate the computations of multiple contagions. We provide a formal model for the simulation system, an overview of the software, and case studies that illustrate applications of interacting contagions. 

   more » « less