Principles of Information Systems (MindTap Course List)
Principles of Information Systems (MindTap Course List)
13th Edition
ISBN: 9781337516945
Author: STAIR
Publisher: Cengage
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Chapter 10, Problem 16RQ
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. It recognize and act on the patterns or trends that it detects in large sets of information.

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Distributed Systems: Consistency Models fer to page 45 for problems on data consistency. structions: Compare different consistency models (e.g., strong, eventual, causal) for distributed databases. Evaluate the trade-offs between availability and consistency in a given use case. Propose the most appropriate model for the scenario and explain your reasoning. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharing]
Operating Systems: Deadlock Detection fer to page 25 for problems on deadlock concepts. structions: • Given a system resource allocation graph, determine if a deadlock exists. If a deadlock exists, identify the processes and resources involved. Suggest strategies to prevent or resolve the deadlock and explain their trade-offs. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]
Artificial Intelligence: Heuristic Evaluation fer to page 55 for problems on Al search algorithms. tructions: Given a search problem, propose and evaluate a heuristic function. Compare its performance to other heuristics based on search cost and solution quality. Justify why the chosen heuristic is admissible and/or consistent. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]

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Principles of Information Systems (MindTap Course List)

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