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Chapter 14 PROBABILISTIC REASONING

ARTIFICIAL INTELLIGENCE MODERN APPROACH

Chapter Audio

Deepen your comprehension by listening to the curated audio discussion for this segment. This resource breaks down complex theories into digestible insights for effective retention.

Visual Summaries

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Table Summary

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Core Terminology

Master key academic terminology through active recall and spaced repetition concepts.

Bayesian network

What data structure is used to represent the dependencies among variables in probabilistic reasoning to answer queries about a domain?

random variable

A Bayesian network is a directed graph where each node represents a _____.

Directed Acyclic Graph (DAG)

What type of graph must a Bayesian network be to ensure it has no directed cycles?

Conditional Probability Table (CPT)

What table is used to list probabilities for discrete variables in a Bayesian network based on parent combinations?

non-descendants

According to the topological semantics of Bayesian networks, a node is conditionally independent of its _____ given its parents.

Markov blanket

What set of nodes, comprising a node's parents, children, and children's parents, makes that node conditionally independent of all other nodes?

Chapter Quiz

According to the source, which capability is uniquely required for a computer to pass the 'Total Turing Test' compared to the standard Turing Test?

What is a primary obstacle to the 'laws of thought' (logicist) approach to artificial intelligence?

Which field is described as combining probability theory with utility theory to provide a framework for decisions made under uncertainty?

The 'General Problem Solver' (GPS) was the first program designed to embody which specific approach to AI?

Why was the DENDRAL program significant in the history of AI development?

Answers: D, C, A, D, A

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