It uses just condition-action rules Simple reflex agents Model-based reflex agents Goal-based agents O Utility-based agents

Q: Simulation involves the generation of an artificial alternate of a system and generating inferences…

A: here have to determine about simulation for the generation of artificial alternate of system.

Q: What is the difference between Hadoop and Spark provide examples. How do these tools assist in the…

A: Hadoop is an open-source software framework for distributed storage and processing of large volumes…

Q: The action of the model based agent depends on Select one: O a. History O b. Learning c. Current…

A: An artificial intelligence system is made up of an agent and its environment. The agents act in…

Q: examples of forward predicate

A: The answer is in step 2

Q: Under which programming situation, it is better to use switch-case over if condition for decision…

A: A switch statement is more efficient than a set of nested ifs. Deciding to use if-then-else…

Q: In linear programming problems, the object function is more important than the constraints; why is…

A: Answer:

Q: What happens when there are only two choice variables in a preemptive goal programming problem?

A: Goal Programming is are  kind of Linear Programming in which a collection of constraints is given a…

Q: Write Algorithm for Steering behaviour rules.  Avoidance(A, f ) in: set A of objects to be avoided;…

A: Algorithm for Steering behaviour rules

Q: Write three differences between autonomous items and accommodating items

A: Lets see the solution in the next steps

Q: Translate the conceptual graph below into English and predicate calculus. person: john agont eat…

A: The translated  conceptual graph below into english  and predictate calculus is given below:-

Q: Data: Age Variable 70 IMT Variable <18,5 18,5-24 25-29 Alcohol Variable <1 1-2 23 Predict with Fuzzy…

A: Here is the step-by-step explanation of the fuzzy logic prediction:The age, IMT, and alcohol…

Q: What is knowledge-based agent? Write the algorithm for knowledge-based agent

A: Knowledge-based agent and algorithm for knowledge-based agent are as follows:

Q: When attempting to persuade an individual of the value of dynamic programming, it is advantageous to…

A: When explaining the significance of dynamic programming, it can be highly effective to utilize…

Q: 1.ani and budi are students 2.each student has an academic supervisor 3.if a student has taken the…

A: Given : English sentences. Convert the sentences into predicate logic.

Q: Most decision tree induction methods are bottom up. Group of answer choices True False

A: Therefore, the correct answer is False.Explanation:False. Most decision tree induction methods are…

Q: Describe how object oriented programming models the real world problem with reference of agents,…

A: Object Oriented Programming is considered as a design methodology for building non-rigid software.…

Q: This is a communication between an actor and a use case; Represented by a solid line. O Aggregation…

A: Answer - Option 3 - Association.

Q: What are the variables on which a reasonable agent should rely at any given time?

A: Introduction: This question concerns the variables on which a rational agent should rely at any…

Q: In linear programming problems, the object function is more important than the constraints; why is…

A: Introduction: In linear programming problems, the objective function is the real-valued function…

Q: Why is the Simple Reflex Agent regarded as the most basic type of agent?

A: Intro Simple Reflex Agent In artificial intelligence, a simple reflex agent is a type of…

Q: 1. What are reflex agent, model-based agent, goal-based agent, utility-based agent, and learning…

A: The simplest agents are simple reflex agents. These agents make decisions based on their current…

Q: Explain the difference between Utility based and reflex based agent?

A:

Q: Why is it significant that the object function is more important than the constraints in linear…

A: Linear programming is a technique widely used  in mathematics, operations research and business…

Q: In linear programming problems, the object function is more important than the constraints; why is…

A: Given: Describe the relevance of why, in linear programming issues, object function is more…

Q: Why are condition-action rules crucial in agent design?

A: Introduction: For active databases, the development of the event-condition-action (ECA) rules [37]…

Q: In linear programming problems, the object function is more important than the constraints; why is…

A: Given: Describe the relevance of why, in linear programming issues, object function is more…

Q: Convert it into predicate logic: Every student in the class has either visited Canada or Mexico.

A: x  denotes  the number of student in this class Let M(x) denotes “x has visited Mexico”, Added C(x)…

Q: make a diagram for SIGN IN in visual paradigm

A: You can Sign in With Google or Microsoft

Q: g problems, the object function is more important than the constraints; why i

A: the explanation is an given below :

Q: Why is it absolutely necessary that object functions take precedence over constraints when dealing…

A: In linear programming problems, the precedence of objective functions over constraints is considered…

Q: gh indirect method from a decision tree. The decision tree turns out to be overfit on training data.…

A: Q.   A rule-based classifier is built through indirect method from a decision tree. The decision…

Q: Write Algorithm for Steering behaviour rules. Avoidance(A, f ) in: set A of objects to be avoided;…

A: Steering behaviors simulation is a concept based on Craig boids and emergent behaviors. This…

Q: True or False: The Perceptron Learning Rule is a sound and complete method for a Perceptron to learn…

A: It can only learn functions that are lenearly separable.

Q: It uses just condition-action rules where the rules are like the form “if … then …”

A: There are four basic kinds of agents program, used in almost all intelligent systems: Simple reflex…

Q: What is an agent function? Differentiate an agent function and an agent program.

A: The question is about agent function and agent program and here is the solution in 2nd step

Q: What type of solutions are possible when there are just two possible variables in a preemptive goal…

A: Goal programming is a subset of linear programming in which a set of objectives are supplied in…

Q: Write the statement in predicates using quantifiers: All COVID-19 vaccines have not been…

A: Given statement: All COVID-19 vaccines have not been sufficiently tested     Objective: To…

Q: Explain instance and local variable by giving an example

A: Instance variable is a variable which is a variable declared for an instance and its scope is…

Q: What are the differences between agent functions and agent programs?

A: To Do: To write the differences between agent function and agent program.

Q: A Skeletal Version of the Learning Algorithm for Static Processes should be written.

A: A static model which it is trained offline. That is, we can train that the model exactly once and…

Q: Describe the approach of using axiomatic semantics to prove thecorrectness of a given program.

A: Semantic is a study of meaning and there are many types of semantics, some of them are axiomatic…

Q: The concept of logical agents can be defined as – “The idea is that an agent can represent knowledge…

A: