Answers.Body: <p>A <strong>simplex reflex</strong> agent takes actions based on current situational experiences.</p>
  
  <p>For example, if you set your smart bulb to turn on at some given time, let's say at 9 pm, the bulb won't recognize how the time is longer simply because that's the rule defined it follows.</p>
  
  <p>A simple reflex agent doesn't compute complex computational problems nor exhibit intelligence.</p>
  
  <p>A <strong>model-based</strong> agent takes actions based on historical situational experiences. It performs actions basing on its internal state. </p>
  
  <p>The <em>internal state</em> of the model-based agent acts as a "knowledge base", which allows actions to be performed by representing of unobserved aspects of the current state depending on percept history nor historical situational experiences. </p>
  
  <p>For instance, a research-based planetary system can predict the planet's climatical conditions or weather basing on some geo-information knowledge base.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-11-01T17:15:32.227Z
Answers.LastActivityDate: 2019-06-22T17:11:06.873Z
Answers.LastEditDate: 2019-06-22T17:11:06.873Z
Answers.UserDisplayName: quintumnia
Body: <p>What is the difference between simple reflex and model-based agents?</p>
  <p>What is the role of the internal state in the case of model-based agents?</p>
  
Tags: <comparison><intelligent-agent><simple-reflex-agents>
Title: What is the difference between simple reflex and model-based agents?
UserDisplayName: Pierre P.
ThreadText: # What is the difference between simple reflex and model-based agents?
  
  (Asked by: username_0 on 2017-05-29)
  
  What is the difference between simple reflex and model-based agents?
  
  What is the role of the internal state in the case of model-based agents?
  
  **Tags:** comparison, intelligent-agent, simple-reflex-agents
  
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  ## 1 answers
  
  ### Answer by username_1 on 2018-11-01. Score: 4
  
  A **simplex reflex** agent takes actions based on current situational experiences.
  
  For example, if you set your smart bulb to turn on at some given time, let's say at 9 pm, the bulb won't recognize how the time is longer simply because that's the rule defined it follows.
  
  A simple reflex agent doesn't compute complex computational problems nor exhibit intelligence.
  
  A **model-based** agent takes actions based on historical situational experiences. It performs actions basing on its internal state.
  
  The *internal state* of the model-based agent acts as a "knowledge base", which allows actions to be performed by representing of unobserved aspects of the current state depending on percept history nor historical situational experiences.
  
  For instance, a research-based planetary system can predict the planet's climatical conditions or weather basing on some geo-information knowledge base.
  
  
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