Bayesian Story Merging By using the probability model discovery previously studied, certain concepts and ideas can be analyzed and merged if similar. Cross-Modal Coupling By analyzing the correspondences between clusters of two sets of data, certain data subsets regular correspondences…
22. Probabilistic Inference II
Beliefs nets Continued from previous class Events diagrams must always be arranged in a way so that there are final nodes and no loops. Recording probabilities in tables for each event, the tables are filled by repeating experience so as to…
21. Probabilistic Inference I
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…