Inductive Process Modeling

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Will Bridewell
Research Scientist in Artificial Intelligence

My research interests include agency, attention, and deception.

Publications

Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; …

In this paper, we review the paradigm of inductive process modeling and examine its application to human physiology. This framework …

Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can …

People constantly apply acquired knowledge to new learning tasks, but machines almost never do. Research on transfer learning attempts …

Research on computational models of scientific discovery investigates both the induction of descriptive laws and the construction of …

In this paper, we report some challenges encountered in developing Prometheus, a software environment that supports the construction …

We are developing a curriculum in science informatics that cuts across disciplinary boundaries to educate students in the computational …

In previous publications, we have reported a computational approach to constructing quantitative process models of dynamic systems from …

In this paper, we discuss a mechanism for transfer learning in the context of inductive process modeling. We begin by describing the …

In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. …

In this paper, we introduce an approach for extracting constraints on process model construction. We begin by clarifying the type of …

We define the inductive process modeling task as the automated construction of quantitative process models from time series and …

In this paper, we introduce an inductive logic programming approach to learning declarative bias. The target learning task is inductive …

Building models of a complex system such as an ecosystem or a chemical plant is an arduous task that can take several person months to …

Scientists investigate the dynamics of complex systems with quantitative models, employing them to synthesize knowledge, to explain …

Existing tools for scientific modeling offer little support for improving models in response to data, whereas computational methods for …

In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of …

In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes …

Research on inductive process modeling combines background knowledge with time-series data to construct explanatory models, but …