An Introduction to Artificial Intelligence: Can Computers Think? |
From inside the book
Results 1-3 of 22
Page vi
... learning · 79 • Assumptions • · Learning • Formula- Introduction Learning Processes New Drugs Thompson's Tech- nique • Mathematical Model tion as a Multistage Decision Process • Expected Gain⚫ Value of In- formation . Further ...
... learning · 79 • Assumptions • · Learning • Formula- Introduction Learning Processes New Drugs Thompson's Tech- nique • Mathematical Model tion as a Multistage Decision Process • Expected Gain⚫ Value of In- formation . Further ...
Page 79
Can Computers Think? Richard Bellman. CHAPTER SEVEN learning A little learning is a dangerous thing . -Pope 1. INTRODUCTION One of the attributes of human intelligence is learning . In this chapter we want to show how a digital computer ...
Can Computers Think? Richard Bellman. CHAPTER SEVEN learning A little learning is a dangerous thing . -Pope 1. INTRODUCTION One of the attributes of human intelligence is learning . In this chapter we want to show how a digital computer ...
Page 83
... LEARNING The problem we want to face is the following : we have N trials — what do we do ? It is clear that we have to spend some time learning about the nature of the unknown lever . We have simplified the problem ... LEARNING 83 learning.
... LEARNING The problem we want to face is the following : we have N trials — what do we do ? It is clear that we have to spend some time learning about the nature of the unknown lever . We have simplified the problem ... LEARNING 83 learning.
Other editions - View all
Common terms and phrases
actual algorithm amount answer applications approach approximation average begin behavior Bellman chapter classical complex concept Consequently consider considerable course criterion deal decision decision process described determine difficulty digital computer discussed distribution Dynamic effect equation essential example exist expected experience fact feasible foregoing function give given hand handle human humor idea important instinct intelligence interesting involved learning levels logic look mathematical mathematical theory mathematician mean methods mind nature observe operation optimal original paradox particular path patient perform play player possible precise present Press probability problem puzzles question reasonable rules simple simulation situations solve space stochastic storage structure success talking techniques theory things tion uncertainty understand universe unknown various wish York