Engineering ecosystems and synthetic ecologiesw
نویسندگان
چکیده
منابع مشابه
Toward the Specification and Design of Industrial Synthetic Ecosystems
Many agent-based systems rely for their effectiveness on the intelligence of individual agents, and interaction among agents is required simply to coordinate these individually complex decisions. Specification and design methods for such systems focus on the internal architecture of individual agents. An alternative approach, “Synthetic Ecosystems,” uses relatively simple agents and draws heavi...
متن کاملRevealing Complex Ecological Dynamics via Symbolic Regression
Complex ecosystems, from food webs to our gut microbiota, are essential to human life. Understanding the dynamics of those ecosystems can help us better maintain or control them. Yet, reverse-engineering complex ecosystems (i.e., extracting their dynamic models) directly from measured temporal data has not been very successful so far. Here we propose to close this gap via symbolic regression. W...
متن کاملApplications of Engineered Synthetic Ecosystems
A major goal in synthetic biology is to construct biological systems with robust and controllable behavior and functionality. Over recent decades, biologists have tried to deconvolve the complexity of life by elucidating key genetic and regulatory determinants, with the hope of eventually engineering biological systems in more predictable ways. Genetic circuits have now been designed and rewire...
متن کاملEnvironments that Induce Synthetic Microbial Ecosystems
Interactions between microbial species are sometimes mediated by the exchange of small molecules, secreted by one species and metabolized by another. Both one-way (commensal) and two-way (mutualistic) interactions may contribute to complex networks of interdependencies. Understanding these interactions constitutes an open challenge in microbial ecology, with applications ranging from the human ...
متن کاملSPEW: Synthetic Populations and Ecosystems of the World
Agent-based models (ABMs) simulate interactions between autonomous agents in constrained environments over time. ABMs are often used for modeling the spread of infectious diseases. In order to simulate disease outbreaks or other phenomena, ABMs rely on “synthetic ecosystems,” or information about agents and their environments that is representative of the real world. Previous approaches for gen...
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تاریخ انتشار 2012