16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003

16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003

This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research....

Full description

Bibliographic Details
Main Authors: Williams, Brian C., Sullivan, Greg
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Learning Object
Language:en-US
Published: 2003
Subjects:
decision-making
reasoning
autonomous systems
decision support
algorithms
artificial intelligence
a.i.
operations research
logic
deduction
heuristic search
constraint-based search
model-based reasoning
planning
execution
uncertainty
machine learning
linear programming
dynamic programming
integer programming
network optimization
decision analysis
decision theoretic planning
Markov decision process
scheme
propositional logic
constraints
Markov processes
computational performance
satisfaction
learning algorithms
system state
state
plan spaces
model theory
decision trees
function approximators
optimization algorithms
limitations
tradeoffs
search and reasoning
game tree search
local stochastic search
stochastic
genetic algorithms
constraint satisfaction
propositional inference
rule-based systems
model-based diagnosis
neural nets
reinforcement learning
web-based
autonomy
search trees
16.410
16.413
Decision making
Online Access:http://hdl.handle.net/1721.1/36896

Internet

http://hdl.handle.net/1721.1/36896

Similar Items