Artificial Intelligence: A Modern Approach
3rd Edition
ISBN: 9780136042594
Author: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
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Chapter 2, Problem 12E
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Behaviour of agent
- The main difference is instead of using the location percept to build the map, the agent has to invent its own locations...
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Develop a simulation that shows the actions you can run an intelligent agent on a System based on the learned knowledge. For this model you must use a language high-level programming.
Consider the case when several persons play the wireless phone game. They send a message from the first person until the last one and the message gets distorted. Simulate this process according to your own distortion rules.
In Task 2, you try to look inside the generative process. What can you say about it?
Select one:
a.
The generative process appears slightly chaotic and is not immediately clear for a human to interpret.
b.
The model starts with the image it came up with which is first in black and white. It then gradually colours the image one bit at a time.
c.
The model drafts things similarly as a human would. It starts by sketching out outlines and then fills in the details.
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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- Ten participants, who were experienced game players, took part in theexperiment. During the experiment sensors were placed on the participants to collect physiological data. These included measures of the moisture produced by sweat glands in the hands and feet, and changes in heart rate and breathing rate. In addition, they videoed participants and asked them to complete user satisfaction questionnaires at the end of the experiment. In order to reduce the effects of learning, half of the participants played first against a friend and then against the computer, and the other half played against the computer first. the setup for recording data while the participants were playing the game. The display shows the physiological data (top right), two participants, and a screen of the game they played. Results from the user satisfaction questionnaire revealed that the mean ratings on a 1–5 scale for each item indicated that playing against a friend was the favored experience in tabular form.…arrow_forwardDraw a sequence diagram for the HappyHourMessage scenario in the figure below. Draw only the first five messages exchanged.arrow_forwardSupervised learning example: Iris classificationLet’s take a look at another example of this process, using the Iris dataset we discussed earlier. Our question will be this: given a model trained on a portion of the Iris data, how well can we predict the remaining labels?arrow_forward
- Correct answer will be upvoted else Multiple Downvoted. Computer science. The train framework can be addressed as directions on a 2D plane. The I-th train beginning at the base end is at first at (i,0) and will be at (i,T) after T minutes, and the I-th train beginning at the left end is at first at (0,i) and will be at (T,i) after T minutes. All trains show up at their objections following 101 minutes. In any case, Gildong observed that a few trains booked to leave at a particular time, at the same time, are extremely hazardous. As of now, n trains are planned to leave from the base end and m trains are booked to withdraw from the left end. In the event that two trains are both at (x,y) simultaneously for some x and y, they will collide with one another. In this way, he is requesting you to observe the base number from trains that ought to be dropped to forestall every such accident. Input Each test contains at least one experiments. The main line contains the number of…arrow_forwardIn this Challenge Exercise, you are going to build a computational model, much like the McBurgers simulation of Section 13.2.3. To do this, follow the same design steps that were used in this example, namely: • Specify the events that can change the state of your system. • For each event, specify an algorithm that shows how the system changes when this type of event occurs. • Specify the main algorithm that will initialize your system, get the simulation started, and run the simulation until it has completed. You do not need to specify your solution in a high-level programming language (unless you want to). Instead, you can write your algorithms using the pseudocode presented in Chapter 2 and shown in Figure 2.9. The system that you are going to model is a small airport with a single runway that handles both takeoffs and landings. This system is diagrammed on the next page.arrow_forwardTen participants, who were experienced game players, took part in the experiment. During the experiment sensors were placed on the participants to collect physiological data. These included measures of the moisture produced by sweat glands in the hands and feet, and changes in heart rate and breathing rate. In addition, they videoed participants and asked them to complete user satisfaction questionnaires at the end of the experiment. In order to reduce the effects of learning, half of the participants played first against a friend and then against the computer, and the other half played against the computer first. Figure shows the setup for recording data while the participants were playing the game. The display shows the physiological data (top right), two participants, and a screen of the game they played. Results from the user satisfaction questionnaire revealed that the mean ratings on a 1–5 scale for each item indicated that playing against a friend was the favored experience in…arrow_forward
- Ten participants, who were experienced game players, took part in the experiment. During the experiment sensors were placed on the participants to collect physiological data. These included measures of the moisture produced by sweat glands in the hands and feet, and changes in heart rate and breathing rate. In addition, they videoed participants and asked them to complete user satisfaction questionnaires at the end of the experiment. In order to reduce the effects of learning, half of the participants played first against a friend and then against the computer, and the other half played against the computer first. the setup for recording data while the participants were playing the game. The display shows the physiological data (top right), two participants, and a screen of the game they played. Results from the user satisfaction questionnaire revealed that the mean ratings on a 1–5 scale for each item indicated that playing against a friend was the favored experience in tabular form.…arrow_forwardSpecify the type of the learning for the following scenarios ( supervised, unsupervised or reinforcement): 1- Learning a robot how to take off correctly in the windy environment using sensors readings 2- Classifying images as dog or cat 3- Classifying images of different colors based on their similarity 4- Predicting the CO2 concentration in the atmosphere using previously measured dataarrow_forwardYour perceptron gets the answer to an image wrong (classifying an image with no face as having a face). Assuming that the initial threshold is 10 and the learning rate is 0.5 what is the updated threshold?arrow_forward
- Which elements of an Al agent are used to perform actions? Select one: a. Actuators b. Sensors and Actuators c. None d. Sensorsarrow_forwardQuestion 2 Saved You are building a three-class object classification and localization algorithm to be used for YOLO algorithm. The classes to be recognized are: pedestrian (c=1), bicycle (c=2), car (c=3). What would be the label for the following image? Remember that "x" means "don't care", which means the value of that corresponding component does not matter for the loss function of the neural network. Recall y = [pc, bx, by, bh, bw,c1,c2,c3] Оу - [0, х, х, х, х, 0, 0, 0] v = [x, х, х, х, х, х, х, х] v = [1, х, х, х, х, 0, 0, 0] у 3 [1, х, х, х, х, х, х, х] у - [0, х, х, х, х, х, х, х]arrow_forwardAlert for not submit AI generated answer. I need unique and correct answer. Don't try to copy from anywhere.arrow_forward
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