"The specifi c problem addressed in this proposal is the development of
good approximation algorithms for solving problems that have partial observability. The model we propose associates costs with obtaining information about the current state. We want to predict when and how much it is necessary to observe. We want...
This paper introduces the even-odd POMDP, an approximation to POMDPs in which the world is assumed to be fully observable every other time step. The even-odd POMDP can be converted into an equivalent MDP, the
2MDP, whose value function, V*[subscript 2MDP], can be combined online with a 2-step lookahead search...
The electron, gamma and neutron radiation degradation of III-V semiconductors
and heterojunction bipolar transistors (HBTs) is investigated in this thesis.
Particular attention is paid to InP and InGaAs materials and InP/InGaAs
abrupt single HBTs (SHBTs). Complete process sequences for fabrication of
InP/InGaAs HBTs are developed and subsequently employed to produce...
This dissertation explores and analyzes the performance of several Bayesian anytime inference algorithms for dynamic influence diagrams. These algorithms are compared on the On-Line Maintenance Agent testbed, a software artifact permitting comparison of dynamic reasoning algorithms used by an agent on a variety of simulated maintenance and monitoring tasks. Analysis...
Many approaches for achieving intelligent behavior of automated (computer) systems involve components that learn from past experience. This dissertation studies computational methods for learning from examples, for classification and for decision
making, when the decisions have different non-zero costs associated with them. Many practical applications of learning algorithms, including transaction...
In its simplest form, the process of diagnosis is a decision-making process in which the diagnostician performs a sequence of tests culminating in a diagnostic decision. For example, a physician might perform a series of simple measurements (body tem- perature, weight, etc.) and laboratory measurements (white blood count, CT scan,...
Natural resource decisions require consideration at many levels, ranging from how one invertebrate will be affected by a nearby road, to how an entire watershed will be transformed by a massive clearcut. Considerations reach farther than just the local ecological community-human communities, economies, and future impacts on the communities and...
This paper studies the problem of learning diagnostic policies from training examples. A diagnostic policy is a complete description of the decision-making actions of a diagnostician (i.e., tests followed by a diagnostic decision) for all possible combinations of test results. An optimal diagnostic policy is one that minimizes the expected...