Artificial Intelligence: A Modern Approach
3rd Edition
ISBN: 9780136042594
Author: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
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Chapter 2, Problem 7E
Explanation of Solution
Pseudocode agent
- For fully-observable and fully-known static environments a policy can be computed in advance which gives the action to taken in any given state.\
- The pseudocode program is
function GOAL-BASED-AGENT(percept ) returns an action
persistent: state, the agent’s current conception of the world state model , a description of how the next state depends on current state and action goal , a description of the desired goal state plan,...
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Students have asked these similar questions
For the goal-based agent architecture given in the picture, write the pseudocode for the agent, given the following:
function GOAL-BASED-AGENT (percept) returns an action
persistent: state, the agent’s current conception of the world state
model, a description of how the next state depends on the current state and action
goal, a description of the desired goal state
plan, a sequence of actions to take, initially empty
action, the most recent action, initially none
It uses just condition-action rules *
Simple reflex agents
Model-based reflex agents
Goal-based agents
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the agent that Knows the actual outcome of its actions in advance called. *
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Chapter 2 Solutions
Artificial Intelligence: A Modern Approach
Ch. 2 - Suppose that the performance measure is concerned...Ch. 2 - Let us examine the rationality of various...Ch. 2 - Prob. 3ECh. 2 - For each of the following activities, give a PEAS...Ch. 2 - Define in your own words the following terms:...Ch. 2 - Prob. 6ECh. 2 - Prob. 7ECh. 2 - Implement a performance-measuring environment...Ch. 2 - Prob. 9ECh. 2 - Prob. 10E
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