9.66J | Fall 2004 | Undergraduate

Computational Cognitive Science

Lecture Notes



This file contains the following topics: Advantages/Disadvantages of the constraint-based approach, the Blicket detector, constraint-based model, constraint-based inference, why not use constraint-based methods and fictional sample sizes, a deductive inference, approaches to structure learning, Bayesian causal inference, ontology, constraints on causal relations, functional form of causal relations, modeling backwards blocking, the role of causal mechanism knowledge, and summary.

Resource Type:
Lecture Notes