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<title>How to implement a Perceptor</title>
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<p><font size="6"><i><b>How to implement a Perceptor</b></i></font></p>
<p><font size="4">In this HowTo we will focus on creating a perceptor. A perceptor 
  allows an agent aspect to perceive the virtual world it lives in. Given the 
  technology presented in the previous HowTos about class objects and scripting, 
  implementing a Perceptor is very simple. All Perceptors are derived from the 
  Kerosin::Perceptor class (source files located under lib/kerosin/agentaspect). 
  They have to implement a single function: Percept(). We will now take a short 
  look at a Perceptor which has been implemented as part of the framework. It 
  is called VisionPerceptor. Let's take a look at the signature of the Percept() 
  function: </font></p>
<pre><span class="key">typedef </span>std::hash_map&lt;std::string, boost::any&gt; TDictionary;

<span class="key">virtual </span><span class="typ">bool </span>Percept(TDictionary &amp;dictionary) = <span class="num">0</span>;
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<p><font size="4">We need a generic interface for this function, which would allow 
  every possible Perceptor to be implemented. For generality, we chose the following 
  interface. Every Percept() function accepts a TDictionary, which maps a string 
  to an 'any' type. If the Percept() function returns some valid data in the dictionary, 
  it returns true, else false. The agent code using the Perceptor can then query 
  the TDictionary for certain results. Every Perceptor should clearly describe 
  which properties it returns, and which type is associated with the property. 
  For example, the VisionPerceptor says, that it returns a property named 'visibleObjects' 
  with the type of TLeafList (see visionperceptor.h). A TLeafList is just a bunch 
  of nodes in the object hierarchy. The agent using the VisionPerceptor knows 
  how to deal with this. If Percept() returns true, it knows that the 'visibleObjects' 
  property in TDictionary contains a TLeafList of visible objects. It then accesses 
  the dictionary and casts the property to the correct type. So, implementing 
  a custom Perceptor is easy. One just has to derive from the Perceptor class 
  and implement the Percept() function. First, the necessary outputs should be 
  identified. These conditions should then be checked internally in the Percept() 
  function and returned to the caller where appropriate.</font></p>
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