Principles of Information Systems, Loose-Leaf Version
Principles of Information Systems, Loose-Leaf Version
13th Edition
ISBN: 9781305971820
Author: Ralph Stair, George Reynolds
Publisher: Course Technology
Question
Book Icon
Chapter 10, Problem 15RQ
Program Plan Intro

Artificial Intelligence:

Artificial Intelligence (AI) simulates thinking and behaves as human such as the capability of giving reason and learning.

  • Its main aim is to develop a system which mimics human intelligence.
  • It increases the speed and consistency of decision making, helps in solving the problems without lending complete information.
  • The problems which cannot be solved by the conventional computing can be resolved using the AI system.

Components of Artificial Intelligence:

The six key components of AI are as follows:

  • Expert systems: A work performed by a human expert and the same task is performed by a computer application is known as expert systems.
  • Robotics: It is a nothing but a development of computer devices that can perform tasks that are difficult for humans which requires higher precision.
  • Vision systems: A hardware or a software program that allows the processor (computer) to capture, store and process visual images.
  • Natural language processing: As the name suggests, it allows the processor to infer and respond to the statements and commands (human level) that are given in natural language like English.
  • Learning systems: It is an integration of software and hardware that permits the processor to change how it functions and how it responds to certain conditions based on comment it collects.
  • Neural networks: Neural network is also called as artificial neural network where the AI attempts to imitate the way human brain works.

Blurred answer
Students have asked these similar questions
Refer to page 80 for problems on white-box testing. Instructions: • Perform control flow testing for the given program, drawing the control flow graph (CFG). • Design test cases to achieve statement, branch, and path coverage. • Justify the adequacy of your test cases using the CFG. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440 AZF/view?usp=sharing]
Refer to page 10 for problems on parsing. Instructions: • Design a top-down parser for the given grammar (e.g., recursive descent or LL(1)). • Compute the FIRST and FOLLOW sets and construct the parsing table if applicable. • Parse a sample input string and explain the derivation step-by-step. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]
Refer to page 20 for problems related to finite automata. Instructions: • Design a deterministic finite automaton (DFA) or nondeterministic finite automaton (NFA) for the given language. • Minimize the DFA and show all steps, including state merging. • Verify that the automaton accepts the correct language by testing with sample strings. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]

Chapter 10 Solutions

Principles of Information Systems, Loose-Leaf Version

Knowledge Booster
Background pattern image
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
Fundamentals of Information Systems
Computer Science
ISBN:9781337097536
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning