Types of Intelligent Systems Quiz
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Types of Intelligent Systems Quiz

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Questions and Answers

What type of reasoning involves probabilistic calculation, Bayesian networks, and the relationship between hypothesis and evidence?

  • Fuzzy reasoning
  • Abductive reasoning (correct)
  • Inductive reasoning
  • Deductive reasoning
  • Which subfield of Artificial Intelligence involves processes like expert systems, speech processing, and natural language processing?

  • Expert/Diagnostic Systems (correct)
  • Vision Robotics
  • Evolutionary Computation
  • Artificial Neural Networks
  • When gathering raw observable information in order to solve a problem, which cognitive process is being utilized?

  • Evaluation process
  • Decision-making process
  • Perception process (correct)
  • Reasoning process
  • What distinguishes data-driven systems from goal-driven systems in the context of intelligent systems?

    <p>Data-driven systems determine goals based on data, while goal-driven systems use predefined goals.</p> Signup and view all the answers

    What is a characteristic of proactive reasoning systems?

    <p>They anticipate future events and act in advance.</p> Signup and view all the answers

    Which type of reasoning lacks precise definitions for vocabulary and can be subjective to individuals?

    <p>Fuzzy reasoning</p> Signup and view all the answers

    What type of system uses an Inference Decision Engine?

    <p>Goal Driven System</p> Signup and view all the answers

    Which type of system is most likely to involve a Warehouse Robotic Swarm?

    <p>Multi Agent Cooperative System</p> Signup and view all the answers

    In which system would a Business Process Management System (BPMS) typically be found?

    <p>Goal Driven System</p> Signup and view all the answers

    Which type of system is likely to have a Real-time Delivery Scheduler as a component?

    <p>Proactive Reasoning System</p> Signup and view all the answers

    What distinguishes Goal Driven Systems from Data-driven Systems?

    <p>Data-driven Systems rely on predefined rules, while Goal Driven Systems adapt based on goals.</p> Signup and view all the answers

    What is the primary difference between Goal-driven Systems and Data-driven Systems?

    <p>Goal-driven Systems use predefined rules to achieve specific outcomes, while Data-driven Systems rely on patterns in data to make decisions.</p> Signup and view all the answers

    In the context of intelligent systems, what are the core cognitive functions/models typically associated with them?

    <p>Learn, Reason, Perceive, Act</p> Signup and view all the answers

    How do Rule-driven Systems differ from Pattern Matcher Systems?

    <p>Rule-driven Systems focus on predefined rules, while Pattern Matcher Systems identify patterns in data.</p> Signup and view all the answers

    What distinguishes white box models from black box models in the context of intelligent systems?

    <p>White box models are knowledge-discovery-based and transparent, while black box models are function-approximation-based and opaque.</p> Signup and view all the answers

    Which type of reasoning system uses activated rules based on specific goals?

    <p>Goal-Driven Reasoning System</p> Signup and view all the answers

    Study Notes

    Types of Reasoning Systems

    • Goal-driven Systems: proactive, autonomous, and multi-agent cooperative systems (e.g., sales chatbot, robotic process automation)
    • Reactive Reasoning Systems: data/event-driven, business rule management systems, and business process management systems (e.g., constrain solver for real-time delivery scheduler)

    Goal-driven Systems vs. Data-driven Systems

    • Goal-driven Systems: inference decision engine, focusing on achieving goals
    • Data-driven Systems: knowledge-driven systems, focusing on patterns and rules

    Knowledge-driven Systems

    • Fact/Rule/Process-driven systems, using knowledge to make decisions
    • Examples: expert systems, business rule management systems, and business process management systems

    Abductive Reasoning

    • Probabilistic calculation, prior/conditional/joint probability, and Bayesian networks
    • Hypothesis ~ Evidence, used in decision-making under uncertainty

    Other Reasoning Forms

    • Fuzzy Reasoning/Logic: lacks precise definition, subjective to individuals
    • Example: determining whether an image is of a human or a cat

    Machine Reasoning Overview

    • From Human Intelligence to Machine Intelligence
    • Subfields of Artificial Intelligence (AI): artificial neural networks, evolutionary computation, vision, robotics, expert systems, speech processing, natural language processing, and planning/optimization

    Cognitive Processes

    • To solve problems: perceive, reason, and act
    • Examples: identifying aliens, using goal-driven systems and knowledge-driven systems

    Reasoning System Architectures

    • Model View of Intelligent System: learn, reason, perceive, and act
    • Data-driven vs. Goal-driven Systems: knowledge-discovery-based (white box) or function-approximation-based (black box)

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    Description

    Test your knowledge on various types of intelligent systems including goal-driven, proactive reasoning systems, autonomous software systems, multi-agent cooperative systems, constraint solvers, reactive reasoning systems, business rule management systems, and business process management systems.

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