Artificial Intelligence: A Modern Approach
3rd Edition
ISBN: 9780136042594
Author: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
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Chapter 2, Problem 6E
a.
Explanation of Solution
Agent
- Yes, more than one agent program can implement a agent function...
b.
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Agent program
- Yes,agent function cannot be implemented by any agent program...
c.
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Fixed machine architecture
- Yes, each agent program implement exactly one agent function...
d.
Explanation of Solution
Architecture
- There are 2n agent programs...
e.
Explanation of Solution
Architecture
- It depends on the program and the environment.
- If the environment is dynamic, speeding up the machine may mean choosing different actions and/or acting sooner...
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Computer Science
You are told that state machine A has one input x, and one output y, both with type {1, 2}, and that it has states {a, b, c, d}. You are told nothing further. Do you have enough information to construct a state machine B that simulates A? If so, give such a state machine, and the simulation relation.
"Semaphore' may be used also to control the flow of execution. Consider the following
situation: P and P2 are two concurrent processes; P executes statement si and P2 executes statement
s2. Use semaphores with the wait() and the signal() system calls to impose this flow of execution:
s1 must be execute AFTER s2. Make a simulation to justify your answer (no point without a valid
simulation).
4. Let us say we are given the task of building an automated taxi. Define the con-
straints. What are the inputs? What is the output? How can we communicate
with the passenger? Do we need to communicate with the other automated
taxis, that is, do we need a "language"?
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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- 2. Model a state machine for a chess game using the following description: A chess game consists of alternate moves of Black and White. White moves first (start of the game). The game can end both when it is White's and when it is Black's turn. The moving player can end the game: winning (checkmate), loosing (resign), or with a draw.arrow_forwardWrite python code for this : Prepare a Dataset of 300 samples of Random Values of two Variables in range(1-1000). Let’s call these variables as X and Y such that X > Y. The Values of Remainder and Quotient is to be calculated for each sample (X, Y) pair such that Remainder = X % Y and Quotient = X / Y. Design a Neural Network Architecture and Pipeline that can take X and Y as input as input and Predict the values of Remainder and Quotient. You are to choose which Error Function you should be using. Derive the weight update Equations. Train the model for above generated Dataset for 10 epochs for all weights of the network using Python code from scratch and show the weight updates. Also, verify if this reduces the error or not.arrow_forwardQuestion 3 In the homework we saw Turing machines for AND, OR, NOT. Here's the definition for XOR. qo O B q1 q1 BR q2 q0 1 B q3 q3 BR q4 q4 0 1 q5 94 1 0 q6 Trace the machine's execution on input 11 by showing the successive configurations. List one configuration per line with a single space separating each part of the configuration. Recall that the parts of the configuration are in the following order: current-state current-head tape-to-left tape-to- right. Use "e" for e and use it only in the "tape-to-left" or "tape-to-right" positions when there is nothing but blanks in those directions. Otherwise list all characters explicitly (and use B for a blank character when needed). initially q0 1 e 1 Step 1 Step 2 Step 3arrow_forward
- I need the answer as soon as possiblearrow_forwardCorrect answer will be upvoted else Multiple Downvoted. Computer science. There is an endless 2-dimensional framework. The robot remains in cell (0,0) and needs to arrive at cell (x,y). Here is a rundown of potential orders the robot can execute: move north from cell (i,j) to (i,j+1); move east from cell (i,j) to (i+1,j); move south from cell (i,j) to (i,j−1); move west from cell (i,j) to (i−1,j); stay in cell (i,j). The robot needs to arrive at cell (x,y) in as couple of orders as could really be expected. In any case, he can't execute a similar order at least twice in succession. What is the base number of orders needed to reach (x,y) from (0,0)? Input The main line contains a solitary integer t (1≤t≤100) — the number of testcases. Every one of the following t lines contains two integers x and y (0≤x,y≤104) — the objective directions of the robot. Output For each testcase print a solitary integer — the base number of orders needed for the robot to…arrow_forwardHow can you use finite automata to model and verify the behavior of a simple vending machine that dispenses different products based on user input and available stock? What kind of automaton would be most appropriate for this scenario, and what would be the language recognized by the automaton?arrow_forward
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