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Artificial Intelligence

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Artificial Intelligence ... Use An Englishlike Formal Language to Represent the Knowledge Explicitly Contained in the Above Semantic Net Conclusion Exercises ... – PowerPoint PPT presentation

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Title: Artificial Intelligence


1
Chapter 13
  • Artificial Intelligence

2
Artificial Intelligence Figure 13.1 The Turing
Test
3
Artificial Intelligence A Division of Labor
Figure 13.2 Human and Computer Capabilities
4
Artificial Intelligence Knowledge
Representation Figure 13.3 A Semantic Net
Representation
5
Artificial Intelligence Recognition Tasks
Figure 13.4 A Neuron
6
Artificial Intelligence Recognition Tasks
Figure 13.5 One Neuron with Three Inputs
7
Artificial Intelligence Recognition Tasks
Figure 13.6 A Neural Network for Comparing Two
Characters
8
Artificial Intelligence Recognition Tasks
Figure 13.7 The Truth Table for XOR
9
Artificial Intelligence Recognition Tasks -
Figure 13.8 An Attempt at an XOR Perception
10
Artificial Intelligence Recognition Tasks
Figure 13.9 Neural Net for XOR
11
Recognition Tasks The Optical Character System
Used By Banks Requires A Special Set of
Characters. These Characters Allow for Exact
Pattern Matching
12
Artificial Intelligence Recognition Tasks
Training Data Machine Recognition of
Handwritten Characters
13
Artificial Intelligence Recognition Tasks
Practice Problem If Input Line 1 is Stimulated
in the Above Neural Network (and Line 2 is Not
Stimulated), Will the Output Line fire?
14
Reasoning Tasks Intelligent Searching Figure
13.10 Decision Tree for Sequential Search
15
Reasoning Tasks Intelligent Searching Figure
13.11 Decision Tree for Binary Search
16
Reasoning Tasks Intelligent Searching Figure
13.12 A Decision Tree with Exponential Growth
17
Conclusion Exercises Use An Englishlike
Formal Language to Represent the Knowledge
Explicitly Contained in the Above Semantic Net
18
Conclusion Exercises In the Above Neural
Network, Which Event or Events Will Cause Node N3
To Fire?
19
Conclusion Exercises Challenge Work Figure
13.13 The AND Truth Table
20
Conclusion Challenge Works Figure 13.14 A
Skeleton for the AND Perceptron
21
Conclusion Challenge Work Figure 13.15 A
General Perceptron for a Training Algorithm
22
Conclusion Challenge Work Figure 13.16
Initial Configuration of Perceptron to be Trained
23
Conclusion Challenge Work Figure 13.17
Configuration of the Perceptron After One
Adjustment
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