In the 8-puzzle game, assume that the start state is: 2 6. 4 7 8 An agent is to be designed to solve the puzzle. Answer the following questions: 1. Is the environment fully observable? Explain your answer
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- Suppose the agent has progressed to the point shown in Figure 7.4(a), page , having perceived nothing in [1,1], a breeze in [2,1], and a stench in [1,2], and is now concerned with the contents of [1,3], [2,2], and [3,1]. Each of these can contain a pit, and at most one can contain a wumpus. Following the example of Figure 7.5, construct the set of possible worlds. (You should find 32 of them.) Mark the worlds in which the KB is true and those in which each of the following sentences is true:α2 = “There is no pit in [2,2].”α3 = “There is a wumpus in [1,3].”Hence show that KB⊨α2 and KB⊨α3.2. Suppose that an agent is in a 3×3 maze environment like the one shown in Figure 4.19. The agent knows that its initial location is (1,1), that the goal is at (3,3), and that the four actions *Up*, *Down*, *Left*, *Right* have their usual effects unless blocked by a wall. The agent does *not* know where the internal walls are. In any given state, the agent perceives the set of legal actions; it can also tell whether the state is one it has visited before or is a new state. a. Explain how this online search problem can be viewed as an offline search in belief‐state space, where the initial belief state includes all possible environment configurations. How large is the initial belief state? How large is the space of belief states? b. How many distinct percepts are possible in the initial state? c. Describe the first few branches of a contingency plan for this problem. How large (roughly) is the complete plan? Notice that this contingency plan is a solution for *every possible…If an agent’s sensors give it access to the complete state of the environment at each point in time then the environment is Fully observable Partially observable Deterministic other
- And how come they are referred to as computer agents? Which of the following qualifies as a computational agent? Household objects include a clock radio, a vacuum cleaner, a video camera, and a programmed calculator.Write a Java program to simulate the behaviour 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 neighbour vertical square first. The vacuum cleaner action is…Write a Java program to simulate the behaviour 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 neighbour vertical square first. The vacuum cleaner action is…
- 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 nonethe intelligent agent environment designed to solve the crossword puzzle problem is categorized as "static (not dynamic)" Select one: True FalseIn general, which of the following environments is the least challenging for agents? Select one: a. deterministic, non-episodic, dynamic, continuous b. inaccessible, episodic, dynamic, continuous c. static, non-episodic, continuous, partially accessible d. fully accessible, discrete, episodic, static
- the knowledge-based agent is not an arbitrary program for calculating actions. It is amenable to a description at the knowledge level, where we need specify only what the agent knows and what it goains are, in order to fix its behavior. Give an Example:Q1. (Maximum 100 words) Discuss in your own words with an example the difference between a State Space and a Search Space in the context of Search Agents. --Type your answer here-- Which type of AI works only with present data and does not have any past memory to process information? --Give your answer in one line — Explain with example Static vs. Dynamic Agent Environment. (Maximum 100 words)Consider the language that contains the predicates of symbols degree, student, pass, test, goodscore, and subscribe, all of arty 0. Given the following knowledge base built from this language: degree ← student ∧ pass. pass ← test ∧ goodscore. test ← subscribe. student. subscribe. a) How many interpretations exist for this propositional language? b) Consider the following interpretations: π(student) π(subscribe) π(test) π(goodscore) π(pass) π(degree) I1 F T T F F F I2 T T F T F T I3 T T T T F F I4 T T T T T T I5 T T T T F F Which interpretations are models of the knowledge-base? Which are not? Why (not)? c) Give all logical consequences of the knowledge-base.