Probabilities in Artificial Intelligence With a joint probability table, recording the tally of crossed events occurrence will allow us to measure the probabilities of each event happening, conditional or unconditional probabilities, independence of events, etc. The problem with such table…
19. Architectures: GPS, SOAR, Subsumption, Society of Mind
General Problem Solver By analyzing the difference between a current state and desired state, a set of intermediary steps can be created to solve the problem = problem solving hypothesis. SOAR (State Operator And Result) SOAR Components: Long-term memory Short-term…
18. Representations: Classes, Trajectories, Transitions
Vocabulary In a semantic net, a diagram of relations between objects, essential notions can be defined as follows: Combinators: linking objects together Reification: actions implying results Localization: a frame where objects and actions happen Story sequence: a series of actions…
17. Learning: Boosting
“Wisdom of a weighted crowd of experts” Classifiers Classifiers are tests that produce binary choices about samples. They are considered strong classifiers if their error rate is close to 0, weak classifiers if their error rate is close to 0.5. By…
16. Learning: Support Vector Machines
Decision boundaries Separating positive and negative example with a straight line that is as far as possible from both positive and negative examples, a median that maximizes the space between positive and negative examples. Constraints are applied to build a…