Artificial Intelligence: A Modern Approach
3rd Edition
ISBN: 9780136042594
Author: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
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Chapter 2, Problem 3E
a.
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Agent
- This is false.
- Perfect rationality ref...
b.
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Task environments
- This is true.
- A pure reflex agent ignores pr...
c.
Explanation of Solution
Task environment
- This is true.
- Any environment...
d.
Explanation of Solution
Input to an agent program
- This is false.
- The agent function takes as inp...
e.
Explanation of Solution
Agent function
- This is false.
- To specify the right answers, there will be an agent function...
f.
Explanation of Solution
Agent
- This is true.
- It doesn’...
g.
Explanation of Solution
Agent
- This is true.
- The part...
h.
Explanation of Solution
Agent
- This is false.
- Some actions are ...
i.
Explanation of Solution
Rational
- This is false...
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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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- Write a Java program to simulate the behavior of a model-based agent for a vacuum cleaner environment based on the following conditions: The vacuum cleaner can move to one of 4 squares: A, B, C, or D as shown in Table 1. Table 1: vacuum cleaner environment A B C D The vacuum cleaner checks the status of all squares and takes action based on the following order: If all squares are clean, the vacuum cleaner stays in its current location. If the current location is not clean, the vacuum cleaner stays in its current location to clean it up. The vacuum cleaner can only move horizontally or vertically (cannot move diagonally). The vacuum cleaner moves only one square at a time. Horizontal moves have the highest priority over vertical moves. The vacuum cleaner moves to another square only when it needs to be cleaned up. If a diagonal square needs to be cleaned up, the vacuum cleaner moves to its neighbor vertical square first. The vacuum cleaner action is…arrow_forwardIt is not possible to infer from a variable's "type" an exhaustive and exhaustive description of the variable. Every variable is one of a kind, both in terms of the information it stores and the extra qualities it has. Give an example that illustrates how this abstract notion might be put into practise to describe a variable of some type.arrow_forwardA robot vacuum cleaner uses a fuzzy logic system to control the speed of the suction of the dirt on the floor based on two inputs : Amount of dirt and Position of the vacuum in the room. Suggest the linguistic variables for the inputs and the output of the system and their corresponding linguistic values. a. b. Draw the membership functions for the linguistic variables. C. Create the related fuzzy rules for the system (up to you to create how many rules). d. Use your own examples for the amount of dirt and the position in the room to show how your system can give the speed of suction of the vacuum cleaner.arrow_forward
- A. What has to be done if there is any change in the environment properties for a simple reflex agent? Answer: B. Name one advantage and one disadvantage of bidirectional heuristic search? Also, when can't we use the bidirectional search? Answer: C. Is it possible for an unknown environment to be fully observable? Justify your answer. Answer:arrow_forwardQUESTION 1 Translate the conceptual graph below into English and predicate calculus. person: john agent eat object soup instrument part handarrow_forward1. The halting problem is described as impossibility to know if a program (based on any programming language) will halt or not after it starts running. How would you simulate or semi-simulate the halting problem? If a simulation is possible, provide a graph or a flow chart. Explain your reasoning. If a simulation is not possible, explain your reasoning.arrow_forward
- Define in your own words the following terms: agent, agent function, agent program, rationality, autonomy, reflex agent, model-based agent, goal-based agent, utility-based agent, learning agent.arrow_forwardIs it possible for a single operation that is in the midst of being carried out to get halted while it is still being carried out? It is expected that any remarks you give will be backed by rational justification in some way.arrow_forwardFor the following statement, first, write the statement in formal logic and, using a truth table, determine the conclusion. You must justify your conclusion using the truth table. If Mary is late, then Bill is late, and, if both Mary and Bill are late, then the class is boring. Suppose that class is not boring. What can you conclude about Mary? Use the following: ? = "???? ?? ????" ? = "???? ?? ????" ? = "????? ?? ??????"arrow_forward
- Using the predicate symbols shown and the appropriate quantifiers, write each English language statement as a predicate wff. (The domain is the whole world.) B(x): x is a bee. F(x): x is a flower. L(x, y): x loves y All bees love all flowers which one of these answer choices a. (∀x)(B(x) → [(∃y)(F(y) ∧ L(x, y)] b. (∀x)(B(x) → [(∀y)(F(y) ∧ L(x, y)] c. (∀x)(B(x) → [(∀y)(F(y) → L(x, y)] d. (∀x)(B(x) ∧ [(∃y)(F(y) → L(x, y)]arrow_forwardThe concept of logical agents can be defined as – “The idea is that an agent can represent knowledgeof its world, its goals and the current situation by sentences in logic and decide what to do byinferring that a certain action or course of action is appropriate to achieve its goals.”And most of the automated systems and devices are built based on this concept.a) How effective it is to use propositional logic for designing a logical agent rather than using otherlogic (First Order, Temporal, Fuzzy, etc.)? Describe with an example.arrow_forwardIn the context of supervised learning, which of the following assertions is not accurate? * a) It is a kind of machine learning known as reinforcement learning; b) It does not need any response variable at all; and c) It includes classification, a type of supervised learning that is included in this category. d) None of the choices presented before itarrow_forward
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