Anthropogenic induced climate change is predicted to alter distribution of existing plant populations. As plants migrate over space and time, populations often fragment and contract, affecting basic elements of population dynamics (e.g., population size, gene flow, genetic diversity, etc.). Little is known, however, how these impacts on plant species will...
In Oregon perennial and annual grass seed cropping systems conservation management practices and their impacts on soil health and soil microbial community is not well understood. There is strong motivation to employ conservation tillage and other conservation practices to curb atmospheric carbon levels and improve soil health. However, the few...
The objective of this study is to evaluate the potential of removing organic carbon and inorganic nitrogen contaminants, and metals from the leachate prior to any land application. New guidelines are needed to ensure the environment and our health is not put at risk. The cost of installation, operation and...
When Newell introduced the concept of the knowledge level as a useful level of description for computer systems, he focused on the representation of knowledge. This paper applies the knowledge level notion to the problem of knowledge acquisition. Two interesting issues arise. First, some existing machine learning programs appear to...
This chapter develops a taxonomy of learning methods using techniques based on Newell’s knowledge level. Two properties of each system are defined: knowledge level predictability and knowledge level learning. A system is predictable at the knowledge level if the principle of rationality can be applied to predict its behavior. A...
An operator calculus for transforming assignment statements, loops, and choice constructs into equation-of-state expressions is shown to be powerful enough to synthetically execute a given computer program and its test data. A demonstration of the program is equivalent to applying an operator formalism to the equation-of-state in order to reduce...
Seed-Lab, is a software system for managing seed laboratory information. It was developed at the Oregon State University Seed Testing Laboratory. Seed-Lab was built around a database development package Revelation, which provides its own programming language.
Seed-Lab shields the user from the complexities of database management by supporting menu driven...